Ru

RunComfy – ComfyUI cloud with runnable ComfyUI workflows

Hacker News

RunComfy – ComfyUI cloud with runnable ComfyUI workflows

Hi HN! We just launched the RunComfy Cloud Private Env, a private web ComfyUI and a file browser all-in-one. The public free option is still here and we are working on lots of good features right now, such as Civitai/HuggingFace model downloader, more GPU options, faster model loading and more runnable video workflows. Try it out here, https://www.runcomfy.com/ . Have fun, and lmk if you have any feedback! ;) Also, feel free to join our Discord with lots of good folks making really nice art stuff w/ ComfyUI: https://discord.gg/3VNAJsedD6

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: model · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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