frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Open in hackernews

Last month 10k apps were built on our platform – here's what we learned

5•jonathanhar•1y ago
Hey all, Jonathan here, cofounder of Fine.dev

Over the last month alone, we've seen more than 10,000 apps built on our product, an AI-powered app creation platform. That gave us a pretty unique vantage point to understand how people actually use AI to build software. We thought we had it pretty much figured out, but what we learned changed our thinking completely.

Here are the three biggest things we learned:

1. Reducing the agent's scope of action improves outcomes (significantly)

At first, we thought “the more the AI can do, the better.” Turns out… not really. When the agent had too much freedom, users got vague, bloated, or irrelevant results. But when we narrowed the scope the results got shockingly better. We even stopped using tool calls almost all together. We never expected this to happen, but here we are. Bottom line - small, focused prompts → cleaner, more useful apps.

2. The first prompt matters. A lot.

We’ve seen prompt quality vary wildly. The difference between "make me a productivity tool" and "give me a morning checklist with 3 fields I can check off and reset each day" is everything. In fact, the success of the app often came down to just how detailed was that first prompt. If it was good enough - users could easily make iterations on top of it until they got their perfect result. If it wasn't good enough, the iterations weren't really useful. Bottom line - make sure to invest in your first request, it will set the tone for the rest of the process.

3. Most apps were small + personal + temporary.

Here’s what really blew our minds: People weren't building startups / businesses. They were building tools for themselves. For this week. For this moment. A gift tracker just for this year's holidays, a group trip planner for the weekend, a quick dashboard to help their kid with morning routines, a way to RSVP for a one-time event. Most of these apps weren’t meant to last. And that's what made them valuable.

This led us to a big shift in our thinking:

We’ve always thought of software as product or infrastructure. But after watching 10,000 apps come to life, we’re convinced it’s also becoming content: fast to create, easy to discard, and deeply personal. In fact, we even released a Feed where every post is a working app you can remix, rebuild, or discard.

We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

Also happy to answer questions about what we learned from the first 10K apps AMA style.

Comments

kingkongjaffa•1y ago
> We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

This is a fascinating thought. I wonder if there's some disconnect between good design and the immediacy of building something that solves exactly the thing you need to solve at the time.

What I mean is, when you first build something, it probably does what users need, but there's always some rough edges. Frankly out of 10,000 throwaway apps built, I'm going to guess probably less than 10 have been built with good design and taste.

It's like the difference between a TODO MVP toy app to track tasks, vs something like Linear which is beautifully designed.

Both probably have their place I think.

For my work I'm not sure I want my tools to be so discardable personally. I want to use predictable, well designed tools that have had their rough edges sanded down through iteratively reducing the micro-frictions I have in my day to day job. Behind every great product experience there's usually someone obsessing over a specific pain point and motivated to make something great.

Toy throwaway apps can't replace human thinking time and experience using a tool over months and years.

For personal and one time problems, toy apps can absolutely get the job done, and most people are willing to overlook the rough edges.

tomcam•1y ago
> When the agent had too much freedom, users got vague, bloated, or irrelevant results.

Listen, pal: I was vague and bloated long before you released your little platform!

Project the aircraft passing overhead onto your ceiling, in real time

https://github.com/cpaczek/skylight
1•phantomathkg•3m ago•0 comments

Show HN: Kyushu – A self-hostable WASM sandbox for JavaScript workers

https://kyushu.dev/
1•le_chuck•8m ago•0 comments

Show HN: WinkTerm – AI that shares the same PTY as you in the terminal

https://github.com/Cznorth/winkterm
1•Cznorth•11m ago•0 comments

Help Nearby – humanitarian map with UN data integration

https://help-nearby.org
1•Hyrezyxx•17m ago•0 comments

Retrospective

https://neverworkintheory.org/2024/03/21/retrospective.html
1•jruohonen•17m ago•0 comments

Dimitri Bertsekas

https://en.wikipedia.org/wiki/Dimitri_Bertsekas
1•tosh•20m ago•0 comments

Are we approaching a new AI winter?

https://adlrocha.substack.com/p/adlrocha-are-we-approaching-a-new
1•adlrocha•20m ago•0 comments

Show HN: About Lightweight, S3-compatible object storage

https://kodiqa-solutions.github.io/VaultS3/
1•open_source_new•22m ago•0 comments

Thoughts on starting new projects with LLM agents

https://eli.thegreenplace.net/2026/thoughts-on-starting-new-projects-with-llm-agents/
2•wrxd•23m ago•0 comments

Show HN: AI pre-screening CIS counterparties before onboarding

https://agenstry.com/agents/cis-secondary-sanctions-a2a.vassiliy-lakhonin.workers.dev
1•vassilbek•24m ago•0 comments

How LLMs Work: A Friendly Map for Humans

https://oreoro.github.io/posts/how-llms-actually-work-friendly-guide/
1•alexander2002•24m ago•0 comments

Police Tussle with Diabetes Experts at Ada Meeting

https://www.medpagetoday.com/special-reports/exclusives/121619
1•pigeons•29m ago•0 comments

What Happened in Tanzania on October 29?

https://www.youtube.com/watch?v=hGI5O56yuxo
1•daesorin•30m ago•0 comments

How much do amd64 microarchitecture levels help in Go?

https://twitter.com/lemire/status/2063358266885685710
2•tosh•33m ago•0 comments

Into the Personal-Website-Verse (2019)

https://matthiasott.com/articles/into-the-personal-website-verse
2•downbad_•34m ago•0 comments

GitHub's CPO on AI Coding Agents, Macro-Delegation, and the Future of Developers

https://www.turingpost.com/p/mario-rodriguez-github-ai-coding-agents-copilot
1•olgava•35m ago•0 comments

How do AI agents spend your money?

https://arxiv.org/abs/2604.22750
1•haemdahl•37m ago•0 comments

How to Become a Centaur (2018)

https://jods.mitpress.mit.edu/pub/issue3-case/release/6
2•downbad_•37m ago•0 comments

GroWell Cap Review: I Have Hair for the First Time in 15 Years

https://www.wired.com/story/growell-cap-rave/
1•joozio•37m ago•0 comments

Distill Hiatus

https://distill.pub/2021/distill-hiatus/
1•jruohonen•39m ago•0 comments

Algorithmic Probability

https://en.wikipedia.org/wiki/Algorithmic_probability
1•dataflow•40m ago•0 comments

'It's Not a Joke': A 'Simpsons' Writer Holds His First Presidential Campaign Ra

https://www.wired.com/story/simpsons-writer-dan-greaney-holds-his-first-presidential-campaign-rally/
4•joozio•41m ago•0 comments

Symbolica: Computer Algebra Library

https://symbolica.io/
1•gurjeet•50m ago•0 comments

Meta to give staff 30min breaks from keylogging

https://www.theregister.com/ai-and-ml/2026/06/04/meta-to-allow-staff-breaks-from-keylogging-data-...
3•seanhunter•58m ago•0 comments

Show HN: HN Reader for VS Code with Obsidian Saving

https://marketplace.visualstudio.com/items?itemName=MichaelGoose.hn-reader
4•javatuts•1h ago•0 comments

Show HN: Rune – A focused Markdown writer for desktop (Tauri/Rust)

https://github.com/JangHyun-bin/Rune
2•narnia0981•1h ago•0 comments

I built an open-source platform for ML benchmarks and leaderboards

https://runbenchhub.com/
2•yakirmat•1h ago•1 comments

Vim Classic 8.3 Released

https://vim-classic.org/news/vim-8.3-released.html
2•tempodox•1h ago•0 comments

Show HN: SVAHNAR – Serverless infrastructure to run AI agents in isolated VMs

https://www.svahnar.com/
2•Chethan_Polanki•1h ago•1 comments

Exploring Rust Dependency-Toolchain Compatibility

https://tigerbeetle.com/blog/2026-04-24-toolchain-horizons/
2•tosh•1h ago•0 comments