Cl

Clappie – Claude Code remote but more fun and useful

Hacker News

Clappie – Claude Code remote but more fun and useful

This was my personal agent setup that I am now open-sourcing. The landing page got a little crazy. I am a big fan of Claude Code. There are many alternatives such as OpenClaw, now an official Claude Code Remote Control, and a bunch of open source mini claw projects. This is different because it: - Create/Manage/Access Claude Code "Terminals" sessions remotely - Is basically just contained to a skill and small setup It also has really cool features from experimenting: - "Parties" which is a fun way to have your Claude Code sessions coordinate (swarms you can control) - On-Demand TUI display engine - Easy automatic skill builder (OAuth & webhook helper) - Message from Telegram/Slack directly to Claude Code terminal - Chores (AI assigns to you, you don't assign to it Then all the classics: - heartbeat - memory - background manager / helpers - others And then most importantly: - It will add a little ASCII dog to your terminal

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, claude, slack · Missing: mac, agents, macos
96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released
26%26% 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 · Missing: arr, mrr, revenue
25%25% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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