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Colada for Claude – Get past your Claude limits using your own API key

Hacker News

Colada for Claude – Get past your Claude limits using your own API key

Tired of running into Claude.ai's daily limits? Try using Colada for Claude . I actually enjoy Claude.ai's interface and artifacts implementation. I didn't want to lift and shift over to another LLM tool. So, to get past the daily limits, I decided to build a simple Chrome extension which continues conversations using your own Anthropic API key. In short: • Get past Claude.ai conversation limits (click on pineapple emoji the to activate Colada) • Bring your own Anthropic API key (requests made directly from your machine) • Preserve conversation context (scraped from the DOM) • Simple, lightweight implementation (everything stored locally) It's a $4.99 one-time purchase- just use "HACKERNEWS" at checkout. Let me know what you think. Open to any and all feedback. Chrome Extension URL: https://chromewebstore.google.com/detail/colada-for-claude/p...

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, apple · Missing: agents, macos, agent
92%92% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
27%27% 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
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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