Generative Art Platform: Go Explore

Hacker News

RunPod.io has partnered with /u/entmike to create a free and open platform for exploring generative art: https://discord.gg/ZDdjFzwWQq We started a website to enable easier viewing of galleries (pardon the dust, it's very WIP): https://www.feverdreams.app/ The community made us an awesome study tool: https://observablehq.com/@jgrunik/fever-dreams Fever Dreams is very much in active development, so please excuse us when the queue gets jammed or if things don't work. Issues usually get fixed very fast :) Compute is sponsored by RunPod.io and you can easily create private art there as well: https://runpod.io/blog/disco-diffusion-on-runpod?ref=hnews

Visit product View on Hacker NewsJun 24, 2022

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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