An Absurdly Compatible Website

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Hey all, I was inspired by the other thread to make a quick video demo of what an Absurdly Compatible Website may look like when implemented. This one does have some JavaScript, but degrades gracefully and supports text-mode browsers, no-JS browsing, and all the classics like IE3 and NN3 and Lynx. https://www.youtube.com/watch?v=E-_yr31biGM Kudos to anyone who can name all the browsers used in the demo, I think it's more than 20 different ones :) You can also check out the site live at http://RocketScience.click or https://RocketScience.click, at least until it's hugged. The framework for this is a static-dynamic hybrid site generator with full transparency and decentralizability, which I'm just preparing for this weekend's MIT Bitcoin Expo, so please let me know if you find any issues. Code is on GitHub: https://www.github.com/gulkily/RocketScience

Visit product View on Hacker NewsMay 6, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, compatible · Missing: reddit linkedin, podcasting, created

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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

14%14% 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.

Incorrect prediction on native model

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