An extension to navigate conversations with GPTs, built using ChatGPT

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Spent the last weekend building a very simple chrome extension - just to get a hang of it. Used ChatGPT to generate boiler plate code, debug issues, suggest the appropriate build tools, help me fill the extension submission form in Chrome webstore etc. It was not easy. It is very good at doing the first 80% of a job. But the last 20% we need to figure out ourselves. It is confident in all its responses. But some of them don't work and we have to figure out which won't. For a SW developer, AI is both a blessing and a curse. Yes, there is always the fear that at the rate of progress, AI might soon make our day jobs irrelevant. But on the other hand, AI powered tools have greatly lowered the entry barrier for trying out our ideas. A backend dev like me could use my limited JS knowledge and build a chrome extension in a day only because I had my GPT buddy to guide me. I named the extension GPTBuddy and it is live on chrome webstore now It is a very simple extension which adds a sidebar with links to all the questions in a conversation thread with GPT. Works on ChatGPT, Claude, Gemini and Perplexity.

Visit product View on Hacker NewsDec 14, 2024

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Actual performance

1points

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, perplexity, chatgpt · Missing: mac, agents, macos

81%81% 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 · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, 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

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 · Strong signals: arr · Missing: mrr, revenue, profit

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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