GPT on Your Kindle

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GPT on Your Kindle

Hi, I’ve built a website for the Kindle e-ink browser, a tool that lets you converse with GPT on your Kindle. I spend a lot of time on my Kindle Scribe. The reading experience is far superior to that on computer or phone screens. Lately I've also been spending a lot of time on ChatGPT. However, the Kindle browser is so crippled that most modern websites are unusable on it. This inspired me to develop a solution in my free time: a ChatGPT like experience optimized for the Kindle browser, built on the good old server-side rendered web pages. Today, I'm thrilled to share this project with you all. Upon sign up, you will get 100K GPT tokens for free. It's still at an early stage, so I'm eager to hear your feedback and opinions. Check it out: https://kindle-gpt.com

Visit product View on Hacker NewsJun 19, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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