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Rhettilator – An exact-fraction calculator in base 360

Hacker News

Rhettilator – An exact-fraction calculator in base 360

I built the Rhettilator, a web calculator that performs arithmetic in base 360 using exact rational fractions—no floating-point rounding errors, ever.Base 360 (2⁵ × 3² × 5 × 7) is divisible by all integers from 1 to 12, so common fractions like 1/3, 1/4, 1/5, 1/6, 1/7, 1/8, 1/9, 1/10, 1/11, and 1/12 all terminate cleanly with no repeating digits.This contrasts sharply with base 10 (where 1/3 repeats) and binary floating-point (where even 0.1 is approximate). It’s a playful yet serious exploration of how a more highly composite base could make certain computations inherently more precise.Try dividing 1 by 7 or 1 by 11 — the results are exact and finite.Link: https://the-rhettilator-9352543e.base44.app/Feedback welcome! Curious what the HN crowd thinks about alternative bases for computation.(This body is engaging, explains the "why" quickly, invites interaction, and avoids hype—perfect for HN's technical audience.)

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using, plain · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
27%27% 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 · Missing: arr, mrr, revenue
17%17% 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

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