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ProfiTree – Find Hidden Tax Savings in Your Investment Portfolio

Hacker News

ProfiTree – Find Hidden Tax Savings in Your Investment Portfolio

Hey HN I’ve been building ProfiTree, a tool to help investors—especially those managing their own portfolios—spot tax savings that are easy to miss. If you're an active trader, it flags disallowed losses from wash sales that can quietly wipe out your tax benefits. If you're a long-term/passive investor, it surfaces opportunities to harvest losses you might not realize are there. I started this after realizing I had personally missed out on tax savings just because I didn’t have visibility. ProfiTree connects securely to your brokerage (via SnapTrade – read-only access), analyzes your past trades, and highlights where you could have saved—and how to avoid missing out in the future. No transactions are ever made, it’s just insights and guidance. It's still in early phase, but I’d love your feedback on: Does this feel useful for the way you invest? 1. Is the value prop clear? 2. What would make this a “must-use” during tax season? Appreciate you giving it a look https://www.profitree-tax.com

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting
69%69% 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
56%56% 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
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, way · Missing: mobile apps, entrepreneurs, apps
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: io · Missing: https docs, excited, just released
30%30% 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 · Strong signals: profit, active · Missing: arr, mrr, revenue
15%15% 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
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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