I built a figure drawing web app

Hacker News

I built an app for practicing figure drawing using AI images as the models. I've been wanting to build this for awhile but the models weren't really good enough yet. Google's nano banana is definitely good enough now! The free version uses photos I've made and then curated but behind the paywall is also timer where the images are generated for each pose. There is a settings option where you can customize these gens and get the specific kind of drawing pose you want to practice. What do you think!? Also, the gen is kind of expensive, especially if you want to sketch with this everyday (the $20 option is what you would probably need to sign up for.) Any ideas on how I can get that price tag down?

Visit product View on Hacker NewsSep 29, 2025

Share card

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, google, models · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Spandraw – web app for PDF drawing markup and structural loads45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spandraw – web app for PDF drawing markup and structural loads

Hacker News2

Built a web app to create leaderboards45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Built a web app to create leaderboards

Hacker News3

Wireshark as a web app48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wireshark as a web app

Hacker News164

My first web app, DailyDo.it48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app, DailyDo.it

Hacker News142

My first web app - HakingPot48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app - HakingPot

Hacker News8

Vetter - please critique my first web app37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vetter - please critique my first web app

Hacker News17

My first web app trains your ears67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app trains your ears

Hacker News10

BeepEvery - A web app that beeps to your will48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BeepEvery - A web app that beeps to your will

Hacker News1

SummerStageLove, my first web app in AngularJS and CoffeeScript43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SummerStageLove, my first web app in AngularJS and CoffeeScript

Hacker News11

My First Web App48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My First Web App

Hacker News20

Browse all products Analyze your launch