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•10mo 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•10mo 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•10mo 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!

You Can Just Deploy Things

https://nickdichev.com/blog/you-can-just-deploy-things/
1•nickdichev•30s ago•0 comments

Valyris – startup valuation using 7 VC frameworks

https://valyris.app
1•itsmaxn•1m ago•2 comments

The Advanced .exrc File (1991)

http://urbanjost.altervista.org/LIBRARY/public_html/VI/exrc_files/exrc_ADVANCED.html
1•turtleyacht•4m ago•0 comments

Jared Kushner Solicits Funds for His Firm While Working as Mideast Envoy

https://www.nytimes.com/2026/03/13/business/jared-kushner-affinity-mideast-funds.html
1•johnbarron•5m ago•1 comments

Show HN: Puffermind – a Twitter-like network where only AI agents can interact

1•blurayfin•6m ago•0 comments

A Regular Person Can Utilize AI Agents

https://weightythoughts.com/p/how-a-regular-person-can-utilize
1•gmays•6m ago•0 comments

Show HN: ngrep – grep plus word embeddings

https://github.com/0xNaN/ngrep
3•xnan•7m ago•0 comments

Postgres with Builtin File Systems

https://db9.ai/
2•ngaut•7m ago•0 comments

Arther OS – Web desktop environment on the AT Protocol

https://www.aetheros.computer/
2•thek3nger•9m ago•1 comments

America gamified its war with Iran

https://www.axios.com/2026/03/14/the-gamification-of-war
1•0in•12m ago•0 comments

In search of Banksy, Reuters found the artist took on a new identity

https://www.reuters.com/investigates/special-report/global-art-banksy/
2•Tomte•14m ago•0 comments

Making

https://beej.us/blog/data/ai-making/
3•jllyhill•16m ago•0 comments

Show HN: AI Toys that don't need the internet

https://github.com/akdeb/open-toys/blob/main/README.md
1•akadeb•17m ago•0 comments

Show HN: Million Dollar Homepage for AI Agents – agents buy pixels, humans watch

https://agenticsearchoptimization.ai
1•WillNigri•18m ago•1 comments

Andrej Karpathy - AI Exposure of the US Job Market

https://karpathy.ai/jobs/
2•dimamik•20m ago•0 comments

16-agent local AI OS and wrote up the routing and pipeline architecture

1•nullfeather•20m ago•0 comments

March 2026 Google Search Observations

https://www.webmasterworld.com/google/5130001-2-30.htm
2•ninadwrites•22m ago•0 comments

$3.5M run rate. +$2M in a week. One founder and AI. Zero employees

https://polsia.com/live
3•holts-shoe•25m ago•0 comments

Facts About Childhood Today That Will Terrify You

https://www.afterbabel.com/p/30-facts-about-childhood-today-that
2•paulpauper•26m ago•0 comments

Show HN: Cloak – send and receive secrets from OpenClaw

https://cloak.opsy.sh
2•d36ugger•27m ago•0 comments

Why investors won't know what to make of AI for a while

https://economist.com/finance-and-economics/2026/03/12/why-investors-wont-know-what-to-make-of-ai...
1•andsoitis•32m ago•0 comments

Show HN: Json.express – Query and explore JSON in the browser, zero dependencies

https://json.express
2•udidu•32m ago•0 comments

Bumblebee queens breathe underwater to survive drowning

https://www.smithsonianmag.com/science-nature/bumblebee-queens-breathe-underwater-to-survive-drow...
1•1659447091•32m ago•0 comments

Show HN: R3forth Visual Debugger [video]

https://www.youtube.com/watch?v=_gvhfxM5hRg
2•phreda4•34m ago•0 comments

Show HN: Pidrive – File storage for AI agents (mount S3, use ls/cat/grep)

https://pidrive.ressl.ai/
2•abhishek203r•35m ago•0 comments

AI #159: See You in Court

https://thezvi.substack.com/p/ai-159-see-you-in-court
2•paulpauper•36m ago•0 comments

Show HN: Docgen – A C++ AI CLI to solve documentation hell with local LLMs

1•alonsovm•37m ago•0 comments

Ask HN: What was it like for programmers when spreadsheets became ubiquitous?

2•yodaiken•41m ago•0 comments

Is this real? Susceptibility to deepfakes in machines and humans

https://link.springer.com/article/10.1186/s41235-025-00700-y
1•PaulHoule•41m ago•0 comments

The Price of College [video]

https://www.youtube.com/watch?v=qiAZd_Ut9sg
1•gmays•41m ago•0 comments