Launched QuantGold AI on Product Hunt today - proving a trading signal in the open before asking anyone to pay real money for it
QuantGold AI just went live on Product Hunt: https://www.producthunt.com/products/quantgold-ai
Quick context for anyone following along - this is one of 5 products I run solo, and the one furthest along on the trading-signal side. It turns XAU/USD (gold) 5-minute price action into clear entry/exit signals, built specifically for traders growing small accounts step by step instead of chasing home runs.
The part I care most about: before pushing anyone toward real-money trading, I am running the signal engine in the open on a public paper account. You can watch the actual results (win rate, drawdown, everything) instead of trusting marketing copy. Starter plan is $30/mo (or $9.90/mo for members), 14-day free trial either way.
Still working through the usual new-account trust gates on Product Hunt/Reddit that this community talks about a lot - this is my second product launched there after a first one earlier this month. Happy to compare notes with anyone else navigating the same distribution grind.
Good instinct, proving it works before charging for it removes a lot of the trust problem upfront. Following to see how the open proof period goes — curious if it changes people's willingness to pay once you do start charging.
Publishing the public paper account is a strong trust asset, but I’d turn the launch into a time-boxed proof funnel rather than optimizing for raw Product Hunt votes. Track visitors → signal-page views → paper-account follows → trial starts by source, and show a weekly cohort with sample size, max drawdown, and losing periodsnot just win rate. For distribution, ask each early trader what decision they made differently after seeing a signal, then use those exact words in one narrow trader community at a time; that will tell you whether the bottleneck is trust, comprehension, or channel fit. A public changelog of signal revisions and invalidated calls could compound credibility faster than adding more features.
The public paper account is a useful trust test. Are traders actually becoming more willing to pay as the live results accumulate, or does performance transparency still not overcome the risk of trading signals?