I started a blog to showcase my projects

Hacker News

Greetings! For some time now I was reading a lot of hackernews and always felt like I am missing. Until now I did not have any web presence were I can showcase what I do. I think one of the biggest reasons is not technology but that I am neither a native english speaker nor good at writing. Even now I am not that happy with the blog post but I thought, if I do not start, I cannot get better. Also there were many posts here interested in E-Inks and personal projects. This finally encouraged me to write a post describing a project I created one and a half year ago. It is basically an E-Ink Screen powered by a battery and an esp32 with autogenerated images using stable diffusion. As mentioned in the article: I prepared a version in my words, with my structure. Kept the structure but ChatGPT did a lot of rephrasing. Thus it is only partially my writing. That was important for me as it made the first step easier. For future posts I plan to keep my own writing even if it means more work and worse style. Feedback is welcome! Ask me anything. Dextro

Visit product View on Hacker NewsJun 21, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

73%73% 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: created, started · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% 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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