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oeis-tui – A TUI to search OEIS integer sequences in the terminal

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oeis-tui – A TUI to search OEIS integer sequences in the terminal

i always loved looking up the On-Line Encyclopedia of Integer Sequences (OEIS) when researching a sequence of numbers. so I decided to make a TUI and CLI for it so that I can browse sequences in the terminal. it supports almost all the features on the site (including the OEIS Webcam) and supports graphs, a preview pane, exporting and bookmarks. more features here: https://github.com/hako/oeis-tui?tab=readme-ov-file#features repo: https://github.com/hako/oeis-tui gitHub releases: https://github.com/hako/oeis-tui/releases cargo: cargo install oeis-tui

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31points
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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, including · 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 · Missing: mac, agents, macos
64%64% 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, including · Missing: https docs, excited, just released
57%57% 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
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
33%33% 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
11%11% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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