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Prepare your tax return on the command-line

Hacker News

Prepare your tax return on the command-line

Hi HN, I wanted to be able to easily compute my tax return using simple open-source software and be able to trust that it was correct. So I'm building that software, with a goal of keeping it simple to add and maintain tax forms/logic so that portion can be crowdsourced. At its core, HabuTax, is a very simple dependency solver. The tax logic is modular and specified at line-level granularity (one formula per line per tax form). This means there is less to keep in your head when implementing, since each field must only consider its own inputs and output, making it easier and less error-prone. I would love your help, whether that is trying it out and reporting bugs/suggesting improvements, implementing additional forms or adding support for more scenarios, or submitting anonymous tax data to help build a test suite. Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos
67%67% 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: ios · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
44%44% 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
35%35% 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
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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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