Productivity2 weeks ago
File Link AI — Never lose a project file in your inbox again, privacy focused AI
Gmail add-on using AI to organize project files and links across email threads.
@Foton689267 · X
Privacy focused AI for gmail
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Gmail add-on using AI to organize project files and links across email threads.
@Foton689267 · X
Privacy focused AI for gmail
Generates and tests pull requests from code issues using your existing build tools.
@jakemoshel · X
Turn issues into sandbox tested PR’s from your current stack
Hermy helps creators find brand contacts, manage outreach, write personalized pitches, automate follow-ups, and track brand relationships.
@brythebull · X
Lovable Generated Project
@DavidMaesela · X
Check out what I just built with Lovable!
Upload documents to build a private vault where you can ask questions and get reminders.
u/Abject_Nature8678 · Reddit
Spent 6 months building an app that reads your contracts — discovered I'd been paying for 3 subscriptions I'd completely forgotten about The original problem was simple: I'd missed a lease auto-renewal and got stuck for another year. I wanted something that reads your documents and tells you what to watch for. Six months later I had Goffer (goffer.ai). But the real test was dogfooding it — loading all my own documents to see what the app found. It flagged two subscription auto-renewals I'
Get transparent app development cost estimates and visual build plans based on AI tokens.
u/Ejboustany · Reddit
Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou
Community platform for discovering and sharing real job interview questions.
@Paramjit_saikia · X
🚀 Just launched interQ! A community-driven platform to discover and share real interview questions from top companies. ✨ Real interview experiences 📚 Bookmark questions 🔍 Search by company & role Try it👇 Feedback is welcome! 🚀 #buildinpublic #web
Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
Submit your project to receive structured feedback from founders and real testers.
@martin_sllz · X
New founder just shipped a project on Small number, but every one is a real person who chose to get honest feedback instead of "looks great". Building this one roast at a time. #buildinpublic
AI project management for developers with GitHub tracking and sprint planning.
@Gallagh819 · X
Describe your code idea in English and QuikRun generates, tests, and runs it live.
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan
