Taxplain – AI Tax Guidance That Explains Your Situation

Hacker News

I built Taxplain because existing tax software is great at form-filling but terrible at guidance. Most Americans don't understand why they owe what they owe or how to optimize their situation. Taxplain uses AI to answer tax questions in plain English across complex scenarios: crypto gains, self-employment, AMT, business structures, state-specific rules. It's like having a tax advisor in your pocket, powered by verified IRS documentation and tax code. The core insight: people don't want software—they want answers. We're targeting the DIY tax filer market that TurboTax underserves on guidance. Currently in beta. Would love feedback on the approach, the UX, or whether this solves a real problem for you. https://www.taxplain.xyz/

Visit product View on Hacker NewsJan 26, 2026

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

74%74% 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, plain · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

42%42% 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

38%38% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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