Frec lets you tax loss harvest the S&P 500 via direct indexing

Hacker News

Hello - I’m the founder of Frec. We built a direct indexing product that lets you tax loss harvest the S&P 500 or the S&P Information Technology indexes for a low 0.10% fee and a minimum deposit of $20k. You can start your direct index with cash or contribute stock you already have. Our historical simulations based on 20-years of data show that we harvest ~40% of every deposit back in capital losses over a period of 5 years. I linked to a live demo account with a real $50k deposit made on Dec 5, 2023. The account shows that our trades track the S&P very closely. As of January 21, our direct index is at $52,808.43 whereas SPY would’ve been at $52,815.79. Our direct index harvested $357.60 in losses despite the market being 5.97% up. Is this something you would use? And if not, what are your biggest reservations? Do you have product feedback for us? Also - we are hiring an iOS engineer and other roles! contact me at mo@frec.com

Visit product View on Hacker NewsJan 22, 2024

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6points

Did not reach leaderboard

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

67%67% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% 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

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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