frontpage.
newsnewestaskshowjobs

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!

Developer APIs for parsing and tailoring CVS

1•engspeedy•35s ago•0 comments

Bubble Sort Game

https://patrickgh3.itch.io/bubble-sort
1•memalign•3m ago•0 comments

Show HN: Tracking iCal feed latency across O365/Google/Apple

https://sync.timetastic.co.uk/
1•turkeywelder•4m ago•0 comments

Sorry, my software is better with agents

https://macro.land/blog/sorry-my-software-is-better-with-agents/
1•priyadarshy•7m ago•0 comments

Plotnine

https://plotnine.org/
1•tosh•8m ago•0 comments

Hey, N00B, We Didn't Hire You to Complete Tasks

https://newsletter.kentbeck.com/p/hey-n00b-we-didnt-hire-you-to-complete
1•RebootStr•10m ago•0 comments

Show HN: The Deconstructed VS Code

https://github.com/dipankar/dscode
1•dipankarsarkar•13m ago•0 comments

A coin toss isn't random. Maybe our choices aren't either

https://gt.ms/blog/free-will/?v=2
2•geetuu•13m ago•0 comments

PageToMD – A CLI tool to turn web pages into clean Markdown for AI agents

https://github.com/gs202/PageToMD
1•gs202•14m ago•0 comments

Vibe Coding at Scale? Engineering Strikes Back

https://blog.owulveryck.info/2026/06/19/vibe-coding-at-scale-engineering-strikes-back.html
1•owulveryck•14m ago•0 comments

Switching AI Tools Mid-Sprint Cost Us a Day (and What We Learned) – Week 6 R

https://theaileverageweekly.com/posts/how-switching-ai-tools-mid-sprint-cost-us-a-day-and-what-we...
1•talvardi7•14m ago•0 comments

Gistpreview.github.io: Gist HTML Preview

https://github.com/gistpreview/gistpreview.github.io
1•gurjeet•15m ago•0 comments

LUKS suspend failed to wipe volume encryption key from memory since Linux 6.9

https://mathstodon.xyz/@iblech/116769502749142438
1•microtonal•18m ago•0 comments

Why local AI – and why it matters

https://nexusfoundation.ngo/why-local-ai
1•kris_osiadacz•27m ago•0 comments

Braess's Paradox

https://en.wikipedia.org/wiki/Braess%27s_paradox
1•the-mitr•28m ago•0 comments

Bobby Prince's Doom (1993) Soundtrack Inducted into Library of Congress

https://playday.one/2026/05/14/bobby-princes-doom-soundtrack-inducted-into-library-of-congress/
2•nomilk•29m ago•0 comments

Phoebus Cartel

https://en.wikipedia.org/wiki/Phoebus_cartel
1•thunderbong•29m ago•0 comments

Build your own vulnerability harness

https://blog.cloudflare.com/build-your-own-vulnerability-harness/
2•Gipsyfine•30m ago•0 comments

Finding the Link Uber Missed: How to Connect AI Code Spend to Business Value

https://medium.com/@navigara/you-cant-measure-roi-on-ai-coding-tools-if-you-never-measured-engine...
1•alienll•33m ago•0 comments

Show HN: NetSentinel – a local network security scanner and connectivity monitor

https://github.com/ossianericson/netsentinel
2•ossianericson•33m ago•0 comments

BookMarkr – Local first visually organized bookmark Chrome extension

https://chromewebstore.google.com/detail/bookmarkr-—-visual-bookma/lianafemkbankodapdaokiefoffi...
1•mnomansd•34m ago•0 comments

Unreal deprecrates Blueprints, their visual programming language in UE6.1

https://xcancel.com/unrealengine/status/2067661808903577646
1•Signez•35m ago•0 comments

Lakehouse//RT: Real-Time Performance on a Unified Lakehouse

https://www.databricks.com/blog/introducing-lakehousert-real-time-performance-unified-lakehouse
1•throwaw12•35m ago•0 comments

How to Drive an LLM

https://home.robusta.dev/blog/how-to-drive-an-llm
1•nyellin•35m ago•0 comments

What 'Getting Your Hands Dirty' Means at LLM-Era

https://carette.xyz/posts/the_mud_and_the_mind/
5•maarcel93•42m ago•1 comments

The new HTTP QUERY method explained

https://kreya.app/blog/new-http-query-method-explained/
3•CommonGuy•43m ago•0 comments

Gemini provides phone number of scammer posing as Delta Airlines

https://old.reddit.com/r/artificial/comments/1u9t7mp/gemini_helped_me_get_scammed/
1•LeoPanthera•44m ago•0 comments

Ask HN: What do you use for scientific presentations?

3•hamburgererror•49m ago•0 comments

Show HN: UAVs FYI – Drone database with supply chain data, API and CLI

https://www.uavs.fyi/
1•Osoraku•50m ago•0 comments

GLM-5.2: Chop off 84% of the volume from a 1.5TB model, still retain 82% power

https://twitter.com/AYi_AInotes/status/2067642004184383564
4•vantareed•50m ago•1 comments