Building DepthFlux: a no-hype whale-flow research feed for crypto/stock traders
I’m building DepthFlux, a crypto/stock market-intelligence product that turns public whale/order-flow activity into a cleaner research feed.
The problem I’m trying to solve: raw crypto order flow is noisy. A trader might see large fills, position changes, liquidations, or social chatter, but it’s hard to quickly understand what matters, when it happened, how large it was, and whether the flow later closed profitably or not.
DepthFlux focuses on a few simple fields:
- direction
- size / notional context
- timestamp
- market context
- closed outcomes when available
The public watch page is delayed and anonymized, so users can inspect examples before joining faster Telegram alerts. I’m intentionally positioning it as market information and research context, not financial advice, not a copy-trading product, and not a “guaranteed signal” group.
I’m currently looking for feedback on three things:
1. Is the positioning clear enough for non-crypto people?
2. Would a delayed public proof feed make you more likely to trust a paid alert product?
3. For a niche trading product, would you focus first on founder communities, trader communities, or paid acquisition?
Product page:
The positioning is clear enough for someone with basic market knowledge but "whale/order-flow activity" might lose completely non-crypto people — maybe lead with the outcome instead: "know what the big players are doing before it moves the market." The delayed public proof feed is a smart trust-building move — seeing real past calls with outcomes is much more convincing than testimonials. For distribution I would go trader communities first, specifically Discord servers and Telegram groups where active traders already discuss flow — they are already problem-aware and will give you the most honest feedback fastest.
I like that you're positioning this as research rather than prediction.
The interesting challenge isn't showing more whale activity—it's helping users decide which events deserve attention without implying every large trade is actionable. In markets where noise is abundant, filtering can become a stronger differentiator than speed.
I like that you're showing delayed real examples instead of trying to sell "secret signals". That choice says a lot about how you want people to judge it.
I kept picturing someone asking ChatGPT something like "what's a good whale tracking tool that isn't just hype" a few months from now. If they check DepthFlux after seeing the name there the public feed is probably what decides whether it feels like something people actually rely on or just another trading project.
Curious if anyone outside your own network has found the public watch page on their own yet or is most of the feedback still coming from people you already know?