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A Turing machine simulating a Turing machine simulating a...
Hacker NewsA Turing machine simulating a Turing machine simulating a...
Possibly the most stupendously useless thing I've ever done. It's a UTM, running on an (infinitely long, lazily initialized) tape, which encodes a description of the UTM + the same tape. The "L0" machine has been running for about 1.5 months, taking about 1B steps/sec. The L1 machine it's simulating has been taking about a dozen steps/sec. The L2 machine it's simulating takes about one step/hour. In ~2070, the L3 machine will take its first step.
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting72%72% 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 released71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, code · Missing: agents, macos, agent46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% 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, revenue21%21% 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, crypto20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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