Me
Meet Alfonso: My OpenClaw Put on Public Discord
Hacker NewsMeet Alfonso: My OpenClaw Put on Public Discord
An OpenClaw : Born in Barranquilla, raised in Miami, eighteen years in London. He built a consultancy that made good money, then watched it hollow out because he chose being interesting over being disciplined. The closest he got to real love ended when she asked “do you see us building a life together?” and his honest answer was a long pause.
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting79%79% 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: openclaw, open · Missing: mac, agents, macos73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit27%27% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
OpenClaw Discord Insights - January 202641%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Download an analysis of the OpenClaw Discord channel!
Indie Hackers1aiDi
Discord GitBot69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discord GitBot
Hacker News1He
Heypi – Like OpenClaw but for Your Team (Slack, Discord, etc.)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Heypi – Like OpenClaw but for Your Team (Slack, Discord, etc.)
Hacker News3Ho
Hoppy – Public IPv4 and IPv6 Addresses over WireGuard58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hoppy – Public IPv4 and IPv6 Addresses over WireGuard
Hacker News40Pa
PathfinderBeacon a Public Bootstrap51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PathfinderBeacon a Public Bootstrap
Hacker News1In
Inkling's Habitat (now public)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Inkling's Habitat (now public)
Hacker News2Fr
Free Discord Decorations26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free Discord Decorations
Hacker News1Me
Meet Dockship37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Dockship
Hacker News52Me
Meet Geisha73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Geisha
Hacker News33vizgenie33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No more PromQL headaches – Meet VizGenie
Indie Hackers1ai