My

My Leapml.dev Hackathon Entry

Hacker News

My Leapml.dev Hackathon Entry

Heyo! I did a hackathon this weekend for leapml.dev. I've owned aiart.fm for a while and have been meaning to turn it into "Dribbble for ai generated art". I've been putting it off but the leapml.dev api made it really easy so I built out an initial POC in a few days. https://aiart.fm The site allows you to run any Stable Diffusion model in the browser. It currently supports: Stable Diffusion 1.5 Open Journey V1 Open Journey V2 Modern Disney Future Diffusion This week I'll add the ability to do prompt based image edits as well as the ability to fine tune your own model right in the browser. The most novel thing I'm probably doing is using GPT-3 to categorize and tag each generation which will allow me to more dynamically filter and sort in the future. You can view prompts, seeds, and all the different parameters of every image. Enjoy some free AI image generation on my dime ;D. More to come!

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, para · Missing: reddit linkedin, podcasting, created
88%88% 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 HuntOn track for Day 1 leaderboard · Strong signals: model, using, open · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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
16%16% 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

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