I Don't Have Spotify
36 by ohjeez | 19 comments on Hacker News.
Sunday, 31 August 2025
Saturday, 30 August 2025
Minneapolis investigators interview Catholic school shooter's mother
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Friday, 29 August 2025
F-35 pilot held 50-minute airborne conference call with engineers before fighter jet crashed in Alaska
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NVDA Stock Price Prediction: Where Nvidia Could Be by 2025, 2026, 2030
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Thursday, 28 August 2025
New top story on Hacker News: Show HN: Grammit – Local-only AI grammar checker (Chrome extension)
Show HN: Grammit – Local-only AI grammar checker (Chrome extension)
9 by scottfr | 0 comments on Hacker News.
Hey HN, I wanted a grammar checker that didn’t send my writing to someone's servers, so we built Grammit, a Chrome extension that runs grammar checks locally using an LLM. Your text never leaves your computer during checking. Here’s a 2-minute overview: https://ift.tt/6w3y7JE Because it uses an LLM, it catches more than spelling and grammar. For example, it can correct some wrong statements like “The first US president was Benjamin Franklin.” Grammit also includes an in-page writing assistant that can rephrase or draft new text. It also uses the local LLM. We used many new web features to build this, such as: - Chrome’s new Prompt API to talk to the local model. - Anchor Positioning API to place the UI with minimal impact on the DOM. - CSS Custom Highlights API for inline error marking. - The new CSS sign() function to create CSS-driven layout with discontinuities. Part of the fun of being early adopters of bleeding edge tech is we’re discovering new Chrome bugs (e.g., https://ift.tt/6QVeKy8 , https://ift.tt/MLxSglE ). I’d love your feedback on: - Where the UX feels rough - What do you think of the corrections and suggestions Happy to answer questions about the tech or the Prompt API. Thanks for trying it out! Chrome Web Store extension link: https://ift.tt/DUkhAZa...
9 by scottfr | 0 comments on Hacker News.
Hey HN, I wanted a grammar checker that didn’t send my writing to someone's servers, so we built Grammit, a Chrome extension that runs grammar checks locally using an LLM. Your text never leaves your computer during checking. Here’s a 2-minute overview: https://ift.tt/6w3y7JE Because it uses an LLM, it catches more than spelling and grammar. For example, it can correct some wrong statements like “The first US president was Benjamin Franklin.” Grammit also includes an in-page writing assistant that can rephrase or draft new text. It also uses the local LLM. We used many new web features to build this, such as: - Chrome’s new Prompt API to talk to the local model. - Anchor Positioning API to place the UI with minimal impact on the DOM. - CSS Custom Highlights API for inline error marking. - The new CSS sign() function to create CSS-driven layout with discontinuities. Part of the fun of being early adopters of bleeding edge tech is we’re discovering new Chrome bugs (e.g., https://ift.tt/6QVeKy8 , https://ift.tt/MLxSglE ). I’d love your feedback on: - Where the UX feels rough - What do you think of the corrections and suggestions Happy to answer questions about the tech or the Prompt API. Thanks for trying it out! Chrome Web Store extension link: https://ift.tt/DUkhAZa...
Wednesday, 27 August 2025
New top story on Hacker News: Malicious versions of Nx and some supporting plugins were published
Malicious versions of Nx and some supporting plugins were published
93 by longcat | 242 comments on Hacker News.
See also: https://ift.tt/j8HfGaL... https://ift.tt/5IUnrlz...
93 by longcat | 242 comments on Hacker News.
See also: https://ift.tt/j8HfGaL... https://ift.tt/5IUnrlz...
Tuesday, 26 August 2025
New top story on Hacker News: Show HN: SecretMemoryLocker – File Encryption Without Static Passwords
Show HN: SecretMemoryLocker – File Encryption Without Static Passwords
4 by YuriiDev | 0 comments on Hacker News.
I built SecretMemoryLocker ( https://ift.tt/WmJjgz4 ), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk. Why? I kept losing master passwords and wanted a solution that wasn't tied to a single point of failure. I also wanted to create a "digital legacy" that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers. Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian. Key Features: * No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly. * Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata. * Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched. * Offline AI Generation Mode: Optional offline Q&A generator (prototype). How It Works (Simplified): 1) Files are packed into an AES-256 encrypted ZIP archive. 2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file's hash. This forces you to answer them sequentially. 3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this: K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.) To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip To decrypt, you need both files and the correct answers. Install & Quick Start: Download the EXE from GitHub Releases (no dependencies needed): https://ift.tt/Y5GX80O Encrypt: SecretMemoryLocker.exe --encrypt "C:\docs\important.pdf" Decrypt: SecretMemoryLocker.exe --decrypt "C:\docs\important_SMLkey.json" I would love to get your feedback on the concept, the user experience, and any security assumptions I've made. Thanks!
4 by YuriiDev | 0 comments on Hacker News.
I built SecretMemoryLocker ( https://ift.tt/WmJjgz4 ), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk. Why? I kept losing master passwords and wanted a solution that wasn't tied to a single point of failure. I also wanted to create a "digital legacy" that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers. Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian. Key Features: * No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly. * Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata. * Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched. * Offline AI Generation Mode: Optional offline Q&A generator (prototype). How It Works (Simplified): 1) Files are packed into an AES-256 encrypted ZIP archive. 2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file's hash. This forces you to answer them sequentially. 3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this: K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.) To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip To decrypt, you need both files and the correct answers. Install & Quick Start: Download the EXE from GitHub Releases (no dependencies needed): https://ift.tt/Y5GX80O Encrypt: SecretMemoryLocker.exe --encrypt "C:\docs\important.pdf" Decrypt: SecretMemoryLocker.exe --decrypt "C:\docs\important_SMLkey.json" I would love to get your feedback on the concept, the user experience, and any security assumptions I've made. Thanks!
Monday, 25 August 2025
New top story on Hacker News: Show HN: Stagewise – frontend coding agent for real codebases
Show HN: Stagewise – frontend coding agent for real codebases
3 by glenntws | 1 comments on Hacker News.
Hey HN, we're Glenn and Julian, and we're building stagewise ( https://stagewise.io ), a frontend coding agent that inside your app’s dev mode and that makes changes in your local codebase. We’re compatible with any framework and any component library. Think of it like a v0 of Lovable that works locally and with any existing codebase. You can spawn the agent into locally running web apps in dev mode with `npx stagewise` from the project root. The agent lets you then click on HTML Elements in your app, enter prompts like 'increase the height here' and will implement the changes in your source code. Before stagewise, we were building a vertical SaaS for logistics from scratch and loved using prototyping tools like v0 or lovable to get to the first version. But when switching from v0/ lovable to Cursor for local development, we felt like the frontend magic was gone. So, we decided to build stagewise to bring that same magic to local development. The first version of stagewise just forwarded a prompt with browser context to existing IDEs and agents (Cursor, Cline, ..) and went viral on X after we open sourced it. However, the APIs of existing coding agents were very limiting, so we figured that building our own agent would unlock the full potential of stagewise. Since our last Show HN ( https://ift.tt/tVvf630 ), we launched a few very important features and changes: You now have a proprietary chat history with the agent, an undo button to revert changes, and we increased the amount of free credits AND reduced the pricing by 50%. We made a video about all these changes, showing you how stagewise works: https://ift.tt/UGoNqRD... . So far, we've seen great adoption from non-technical users who wanted to continue building their lovable prototype locally. We personally use the agent almost daily to make changes to our landing page and to build the UI of new features on our console ( https://ift.tt/mHWQRYt ). If you have an app running in dev mode, simply `cd` into the app directory and run `npx stagewise` - the agent should appear, ready to play with. We're very excited to hear your feedback!
3 by glenntws | 1 comments on Hacker News.
Hey HN, we're Glenn and Julian, and we're building stagewise ( https://stagewise.io ), a frontend coding agent that inside your app’s dev mode and that makes changes in your local codebase. We’re compatible with any framework and any component library. Think of it like a v0 of Lovable that works locally and with any existing codebase. You can spawn the agent into locally running web apps in dev mode with `npx stagewise` from the project root. The agent lets you then click on HTML Elements in your app, enter prompts like 'increase the height here' and will implement the changes in your source code. Before stagewise, we were building a vertical SaaS for logistics from scratch and loved using prototyping tools like v0 or lovable to get to the first version. But when switching from v0/ lovable to Cursor for local development, we felt like the frontend magic was gone. So, we decided to build stagewise to bring that same magic to local development. The first version of stagewise just forwarded a prompt with browser context to existing IDEs and agents (Cursor, Cline, ..) and went viral on X after we open sourced it. However, the APIs of existing coding agents were very limiting, so we figured that building our own agent would unlock the full potential of stagewise. Since our last Show HN ( https://ift.tt/tVvf630 ), we launched a few very important features and changes: You now have a proprietary chat history with the agent, an undo button to revert changes, and we increased the amount of free credits AND reduced the pricing by 50%. We made a video about all these changes, showing you how stagewise works: https://ift.tt/UGoNqRD... . So far, we've seen great adoption from non-technical users who wanted to continue building their lovable prototype locally. We personally use the agent almost daily to make changes to our landing page and to build the UI of new features on our console ( https://ift.tt/mHWQRYt ). If you have an app running in dev mode, simply `cd` into the app directory and run `npx stagewise` - the agent should appear, ready to play with. We're very excited to hear your feedback!
Sunday, 24 August 2025
Saturday, 23 August 2025
Friday, 22 August 2025
Thursday, 21 August 2025
Wednesday, 20 August 2025
Traveler captures extraordinary footage of 'ghost of the mountains': 'Sightings are incredibly rare'
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Tuesday, 19 August 2025
Americans are hoarding more cash, but not in checking or savings. Here are the accounts rewarding savers today
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“The View”'s Ana Navarro slams Melania Trump's 'performative hypocrisy' after First Lady's plea to Vladimir Putin over Ukraine
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New top story on Hacker News: CRLite: Certificate Revocation Checking in Firefox
CRLite: Certificate Revocation Checking in Firefox
11 by TangerineDream | 0 comments on Hacker News.
11 by TangerineDream | 0 comments on Hacker News.
Monday, 18 August 2025
New top story on Hacker News: Show HN: Whispering – Open-source, local-first dictation you can trust
Show HN: Whispering – Open-source, local-first dictation you can trust
13 by braden-w | 5 comments on Hacker News.
Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. All your data is stored locally on your device. For me, the features were good enough that I left my paid tools behind (I used Superwhisper and Wispr Flow before). Productivity apps should be open-source and transparent with your data, but they also need to match the UX of paid, closed-software alternatives. I hope Whispering is near that point. I use it for several hours a day, from coding to thinking out loud while carrying pizza boxes back from the office. Here’s an overview: https://www.youtube.com/watch?v=1jYgBMrfVZs , and here’s how I personally am using it with Claude Code these days: https://www.youtube.com/watch?v=tpix588SeiQ . There are plenty of transcription apps out there, but I hope Whispering adds some extra competition from the OSS ecosystem (one of my other OSS favorites is Handy https://ift.tt/fAK2BOF ). Whispering has a few tricks up its sleeve, like a voice-activated mode for hands-free operation (no button holding), and customizable AI transformations with any prompt/model. Whispering used to be in my personal GH repo, but I recently moved it as part of a larger project called Epicenter ( https://ift.tt/fzJU3uc ), which I should explain a bit... I’m basically obsessed with local-first open-source software. I think there should be an open-source, local-first version of every app, and I would like them all to work together. The idea of Epicenter is to store your data in a folder of plaintext and SQLite, and build a suite of interoperable, local-first tools on top of this shared memory. Everything is totally transparent, so you can trust it. Whispering is the first app in this effort. It’s not there yet regarding memory, but it’s getting there. I’ll probably write more about the bigger picture soon, but mainly I just want to make software and let it speak for itself (no pun intended in this case!), so this is my Show HN for now. I just finished college and was about to move back with my parents and work on this instead of getting a job…and then I somehow got into YC. So my current plan is to cover my living expenses and use the YC funding to support maintainers, our dependencies, and people working on their own open-source local-first projects. More on that soon. Would love your feedback, ideas, and roasts. If you would like to support the project, star it on GitHub here ( https://ift.tt/fzJU3uc ) and join the Discord here ( https://ift.tt/0trgOnM ). Everything’s MIT licensed, so fork it, break it, ship your own version, copy whatever you want!
13 by braden-w | 5 comments on Hacker News.
Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. All your data is stored locally on your device. For me, the features were good enough that I left my paid tools behind (I used Superwhisper and Wispr Flow before). Productivity apps should be open-source and transparent with your data, but they also need to match the UX of paid, closed-software alternatives. I hope Whispering is near that point. I use it for several hours a day, from coding to thinking out loud while carrying pizza boxes back from the office. Here’s an overview: https://www.youtube.com/watch?v=1jYgBMrfVZs , and here’s how I personally am using it with Claude Code these days: https://www.youtube.com/watch?v=tpix588SeiQ . There are plenty of transcription apps out there, but I hope Whispering adds some extra competition from the OSS ecosystem (one of my other OSS favorites is Handy https://ift.tt/fAK2BOF ). Whispering has a few tricks up its sleeve, like a voice-activated mode for hands-free operation (no button holding), and customizable AI transformations with any prompt/model. Whispering used to be in my personal GH repo, but I recently moved it as part of a larger project called Epicenter ( https://ift.tt/fzJU3uc ), which I should explain a bit... I’m basically obsessed with local-first open-source software. I think there should be an open-source, local-first version of every app, and I would like them all to work together. The idea of Epicenter is to store your data in a folder of plaintext and SQLite, and build a suite of interoperable, local-first tools on top of this shared memory. Everything is totally transparent, so you can trust it. Whispering is the first app in this effort. It’s not there yet regarding memory, but it’s getting there. I’ll probably write more about the bigger picture soon, but mainly I just want to make software and let it speak for itself (no pun intended in this case!), so this is my Show HN for now. I just finished college and was about to move back with my parents and work on this instead of getting a job…and then I somehow got into YC. So my current plan is to cover my living expenses and use the YC funding to support maintainers, our dependencies, and people working on their own open-source local-first projects. More on that soon. Would love your feedback, ideas, and roasts. If you would like to support the project, star it on GitHub here ( https://ift.tt/fzJU3uc ) and join the Discord here ( https://ift.tt/0trgOnM ). Everything’s MIT licensed, so fork it, break it, ship your own version, copy whatever you want!
Sunday, 17 August 2025
Saturday, 16 August 2025
Friday, 15 August 2025
Thursday, 14 August 2025
New top story on Hacker News: Show HN: Modelence – Supabase for MongoDB
Show HN: Modelence – Supabase for MongoDB
12 by artahian | 0 comments on Hacker News.
Hi all, Aram and Eduard here - authors of Modelence ( https://ift.tt/I7lFBxH ), an all-in-one backend platform for teams that love TypeScript + MongoDB. Think Supabase, but for MongoDB: auth, cron jobs, email, monitoring, without glue code before you can ship. As Karpathy (and many of us) noted, getting from prototype to production is mostly painful integration work. The pieces exist, but stitching them together reliably is the hard part: https://ift.tt/YfbCUZc . YC AI Startup School talk about this - https://www.youtube.com/watch?feature=shared&t=1940&v=LCEmiR... We intend to fill those gaps! What you get out of the box: - Authentication / user management - Database - Email integration (3rd party, but things like user verification emails work out of the box) - AI integration - Cron jobs - Monitoring / Telemetry - Configs & secrets - Analytics (coming soon) - File uploads (coming soon) How it runs: A Node.js backend with MongoDB. It's frontend-agnostic, so you can use our minimal Vite + React starter or drop Modelence behind an existing Next.js (or any) frontend. We're also building a managed cloud, similar to what Vercel is for Next.js, except Modelence focuses on the backend instead of the frontend (Vercel is great for content sites like landing pages, blogs, etc, but things like persistent connections and complex backend logic outgrow it quickly). You can find a quick demo here: https://www.youtube.com/watch?v=S4f22FyPpI8 We're looking for early users (especially TS teams on MongoDB). Tell us what's missing, what's confusing, and what you'd want before trusting this in prod. Happy to answer anything!
12 by artahian | 0 comments on Hacker News.
Hi all, Aram and Eduard here - authors of Modelence ( https://ift.tt/I7lFBxH ), an all-in-one backend platform for teams that love TypeScript + MongoDB. Think Supabase, but for MongoDB: auth, cron jobs, email, monitoring, without glue code before you can ship. As Karpathy (and many of us) noted, getting from prototype to production is mostly painful integration work. The pieces exist, but stitching them together reliably is the hard part: https://ift.tt/YfbCUZc . YC AI Startup School talk about this - https://www.youtube.com/watch?feature=shared&t=1940&v=LCEmiR... We intend to fill those gaps! What you get out of the box: - Authentication / user management - Database - Email integration (3rd party, but things like user verification emails work out of the box) - AI integration - Cron jobs - Monitoring / Telemetry - Configs & secrets - Analytics (coming soon) - File uploads (coming soon) How it runs: A Node.js backend with MongoDB. It's frontend-agnostic, so you can use our minimal Vite + React starter or drop Modelence behind an existing Next.js (or any) frontend. We're also building a managed cloud, similar to what Vercel is for Next.js, except Modelence focuses on the backend instead of the frontend (Vercel is great for content sites like landing pages, blogs, etc, but things like persistent connections and complex backend logic outgrow it quickly). You can find a quick demo here: https://www.youtube.com/watch?v=S4f22FyPpI8 We're looking for early users (especially TS teams on MongoDB). Tell us what's missing, what's confusing, and what you'd want before trusting this in prod. Happy to answer anything!
Wednesday, 13 August 2025
Tuesday, 12 August 2025
Monday, 11 August 2025
Sunday, 10 August 2025
You'll Never Believe What Microsoft CEO Satya Nadella Said About Quantum Computing
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New top story on Hacker News: Show HN: Llmswap – Python package to reduce LLM API costs by 50-90% with caching
Show HN: Llmswap – Python package to reduce LLM API costs by 50-90% with caching
8 by sreenathmenon | 1 comments on Hacker News.
I built llmswap to solve a problem I kept hitting in hackathons - burning through API credits while testing the same prompts repeatedly during development. It's a simple Python package that provides a unified interface for OpenAI, Anthropic, Google Gemini, and local models (Ollama), with built-in response caching that can cut API costs by 50-90%. Key features: - Intelligent caching with TTL and memory limits - Context-aware caching for multi-user apps - Auto-fallback between providers when one fails - Zero configuration - works with environment variables from llmswap import LLMClient client = LLMClient(cache_enabled=True) response = client.query("Explain quantum computing") # Second identical query returns from cache instantly (free) The caching is disabled by default for security. When enabled, it's thread-safe and includes context isolation for multi-user applications. Built this from components of a hackathon project. Already at 2.2k downloads on PyPI. Hope it helps others save on API costs during development. GitHub: https://ift.tt/dKtHujf PyPI: https://ift.tt/IML0ETw
8 by sreenathmenon | 1 comments on Hacker News.
I built llmswap to solve a problem I kept hitting in hackathons - burning through API credits while testing the same prompts repeatedly during development. It's a simple Python package that provides a unified interface for OpenAI, Anthropic, Google Gemini, and local models (Ollama), with built-in response caching that can cut API costs by 50-90%. Key features: - Intelligent caching with TTL and memory limits - Context-aware caching for multi-user apps - Auto-fallback between providers when one fails - Zero configuration - works with environment variables from llmswap import LLMClient client = LLMClient(cache_enabled=True) response = client.query("Explain quantum computing") # Second identical query returns from cache instantly (free) The caching is disabled by default for security. When enabled, it's thread-safe and includes context isolation for multi-user applications. Built this from components of a hackathon project. Already at 2.2k downloads on PyPI. Hope it helps others save on API costs during development. GitHub: https://ift.tt/dKtHujf PyPI: https://ift.tt/IML0ETw
Saturday, 9 August 2025
New top story on Hacker News: Ask HN: What Toolchains Are People Using for Desktop App Development in 2025?
Ask HN: What Toolchains Are People Using for Desktop App Development in 2025?
16 by lincoln20xx | 16 comments on Hacker News.
I recently came across a comment [0] here that highlighted the challenges of building native desktop apps with LLMs. The commenter pointed out how scarce training resources have become—few blog posts, tutorials, or open-source projects exist compared to web or mobile development. They also noted that while desktop app development was a solid career path in the 90s, it's now seen as a dead end for most, outside of big players like Microsoft or Adobe. This got me thinking: My own experience with desktop development dates back to the late 90s using Turbo Pascal 6 in Delphi, and I'm out of the loop on modern practices. With the evolving landscape, I'm curious about what tools and workflows developers are actually using today. Some questions to spark discussion: - What programming languages and frameworks are popular for desktop apps? - Are there any go-to IDEs, build tools, or libraries that make development easier? - Do the above answers change if you care about code performance or efficiency (whatever that means to you)? - Is native desktop app development still viable as a career, or are most greenfield projects shifting to web-based alternatives? I'd love to hear from folks with recent experience—success stories, pitfalls, and recommendations would be great. Thanks in advance for sharing! [0] https://ift.tt/gQHwshM
16 by lincoln20xx | 16 comments on Hacker News.
I recently came across a comment [0] here that highlighted the challenges of building native desktop apps with LLMs. The commenter pointed out how scarce training resources have become—few blog posts, tutorials, or open-source projects exist compared to web or mobile development. They also noted that while desktop app development was a solid career path in the 90s, it's now seen as a dead end for most, outside of big players like Microsoft or Adobe. This got me thinking: My own experience with desktop development dates back to the late 90s using Turbo Pascal 6 in Delphi, and I'm out of the loop on modern practices. With the evolving landscape, I'm curious about what tools and workflows developers are actually using today. Some questions to spark discussion: - What programming languages and frameworks are popular for desktop apps? - Are there any go-to IDEs, build tools, or libraries that make development easier? - Do the above answers change if you care about code performance or efficiency (whatever that means to you)? - Is native desktop app development still viable as a career, or are most greenfield projects shifting to web-based alternatives? I'd love to hear from folks with recent experience—success stories, pitfalls, and recommendations would be great. Thanks in advance for sharing! [0] https://ift.tt/gQHwshM
Friday, 8 August 2025
Thursday, 7 August 2025
New top story on Hacker News: Show HN: Browser AI agent platform designed for reliability
Show HN: Browser AI agent platform designed for reliability
13 by ogandreakiro | 1 comments on Hacker News.
We’re very excited to share something we’ve been building. Notte https://www.notte.cc/ is a full-stack browser agent platform built to reliably automate a wide range of workflows. Browser agents aren’t new, but what is still hard is covering real-world flows reliably. The inspiration for Notte was to make a full-featured platform that bridges the agent reliability gap. We’ve packaged everything via a singe API for ease of use: - Site Interactions - Observe website states, scrape data and execute actions - Structured Output - Get data in your exact format with Pydantic models - Stealth browser sessions - built-in CAPTCHA solving, proxies, and anti-detection - Hybrid workflows - Combine scripting and AI agents to reduce costs and improve reliability - Secrets vaults - Credential management to store emails, passwords, MFA tokens, SSO, etc. - Digital personas - Digital identities with unique emails, phones for account creation workflows With these tools, Notte allows you to automate difficult tasks like account creation, form filling, work on authenticated dashboards. Close compatibility with Playwright allows you to cut LLM costs and improve execution speed by mixing web automation primitives and include agents only for specific parts that require reasoning and adaptability. Here’s a short YouTube demo: https://www.youtube.com/watch?v=b1CzmfpdzaQ If any of this sounds interesting, you can run your first agent following our quickstart on GitHub https://ift.tt/3GwzdWf . Or play around with our free plan through our Notte Console: https://console.notte.cc/ We’d love to hear if there’s anything else required before you’d try or trust it on your own workflows :)
13 by ogandreakiro | 1 comments on Hacker News.
We’re very excited to share something we’ve been building. Notte https://www.notte.cc/ is a full-stack browser agent platform built to reliably automate a wide range of workflows. Browser agents aren’t new, but what is still hard is covering real-world flows reliably. The inspiration for Notte was to make a full-featured platform that bridges the agent reliability gap. We’ve packaged everything via a singe API for ease of use: - Site Interactions - Observe website states, scrape data and execute actions - Structured Output - Get data in your exact format with Pydantic models - Stealth browser sessions - built-in CAPTCHA solving, proxies, and anti-detection - Hybrid workflows - Combine scripting and AI agents to reduce costs and improve reliability - Secrets vaults - Credential management to store emails, passwords, MFA tokens, SSO, etc. - Digital personas - Digital identities with unique emails, phones for account creation workflows With these tools, Notte allows you to automate difficult tasks like account creation, form filling, work on authenticated dashboards. Close compatibility with Playwright allows you to cut LLM costs and improve execution speed by mixing web automation primitives and include agents only for specific parts that require reasoning and adaptability. Here’s a short YouTube demo: https://www.youtube.com/watch?v=b1CzmfpdzaQ If any of this sounds interesting, you can run your first agent following our quickstart on GitHub https://ift.tt/3GwzdWf . Or play around with our free plan through our Notte Console: https://console.notte.cc/ We’d love to hear if there’s anything else required before you’d try or trust it on your own workflows :)
Wednesday, 6 August 2025
Tuesday, 5 August 2025
Monday, 4 August 2025
New top story on Hacker News: Show HN: Mathpad – Physical keypad for typing 100+ math symbols anywhere
Show HN: Mathpad – Physical keypad for typing 100+ math symbols anywhere
15 by MagneLauritzen | 10 comments on Hacker News.
Here's something different than your usual fare: A physical keypad that lets you directly type math! Ever tried typing mathematical equations in your code IDE, email, or on Slack? You might know it can be tricky. Mathpad solves this with dedicated keys for Greek letters, calculus symbols, and more. Press the ∫ key and get ∫, in any application that accepts text. It uses Unicode composition, so it works everywhere: Browsers, chat apps, code editors, Word, you name it. Basically, anywhere you can type text, Mathpad lets you type mathematics. I built Mathpad after getting frustrated with the friction of typing equations in e.g. Word, and what a pain in the ass it was to find the specific symbols I needed. I assumed that a product like Mathpad already existed, but that was not true and I had to build it myself. It turned out to be pretty useful! Three years of solo development later, I'm launching on Crowd Supply. One of the trickiest parts of this project was finding someone who could manufacture custom keycaps with mathematical symbols. Shoutout to Loic at 3dkeycap.com for making it possible! Fully open source (hardware + software): https://ift.tt/2g0DtPB Campaign: https://ift.tt/y2j0PLF Project log: https://ift.tt/PV98DuO
15 by MagneLauritzen | 10 comments on Hacker News.
Here's something different than your usual fare: A physical keypad that lets you directly type math! Ever tried typing mathematical equations in your code IDE, email, or on Slack? You might know it can be tricky. Mathpad solves this with dedicated keys for Greek letters, calculus symbols, and more. Press the ∫ key and get ∫, in any application that accepts text. It uses Unicode composition, so it works everywhere: Browsers, chat apps, code editors, Word, you name it. Basically, anywhere you can type text, Mathpad lets you type mathematics. I built Mathpad after getting frustrated with the friction of typing equations in e.g. Word, and what a pain in the ass it was to find the specific symbols I needed. I assumed that a product like Mathpad already existed, but that was not true and I had to build it myself. It turned out to be pretty useful! Three years of solo development later, I'm launching on Crowd Supply. One of the trickiest parts of this project was finding someone who could manufacture custom keycaps with mathematical symbols. Shoutout to Loic at 3dkeycap.com for making it possible! Fully open source (hardware + software): https://ift.tt/2g0DtPB Campaign: https://ift.tt/y2j0PLF Project log: https://ift.tt/PV98DuO
Sunday, 3 August 2025
Nonprofit makes alarming discovery on beach near SpaceX's Starbase: 'We already collected one ton'
from Yahoo News - Latest News & Headlines https://ift.tt/K8aLpOV
Saturday, 2 August 2025
Friday, 1 August 2025
Finance Professors Say Bitcoin Is 'Not Backed By Anything' — Yet Crypto Investors Are Defying The Critics
from Yahoo News - Latest News & Headlines https://ift.tt/i7JPoYV
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