95Crypto turns exchange-listing events into a daily risk-on / risk-off signal across thousands of tokens. Catch the climbers early, dodge the delisting's before the dump.
No reviews yetBe the first to leave a review for 95Crypto
Maker
📌
Hey Product Hunt 👋
I built 95Crypto for myself first. I trade crypto with my own money, and I kept losing it the same two ways buying tokens on hype right before they faded, and holding tokens that got quietly delisted while I wasn't paying attention.
Both have a tell, and it's not the price. It's what the exchanges do. When a token climbs the exchange ladder (say MEXC, then KuCoin, then a Tier 1 like Binance), that's real demand showing up before the chart moves. And when an exchange delists a token or pulls its margin, that's usually an early warning the market hasn't priced in yet.
So I started tracking every listing, delisting, and exchange move across the major venues and turned it into one daily read: risk-on (a token is gaining access, liquidity, or leverage) or risk-off (it's losing them). Thousands of tokens, one clear signal each.
Two things changed how I built it. First, I stopped trying to predict price and just tracked what exchanges actually do, because that's a fact, not a forecast. Second, I almost shipped a page of our best calls, then killed it, because a highlight reel is exactly the crypto-grifter move I built this to get away from. So the track record grades every delisting call honestly, hits and misses both, and if the hit rate ever drops to a coin flip, the site says so.
It's free during beta, and every signal also posts to a public Telegram channel if you just want to follow along.
I'd genuinely love feedback, especially from people who trade. What would make this something you'd open every day? And what signal do you wish existed that nobody's building yet?
Not financial advice, obviously. It's data to think with, not a buy button.
Report
Hey, the signal-driven approach is genuinely useful here. One thing that would make this way more actionable for me is adding historical win-rate data per listing tier, like showing how often tokens from similar announcement sources hit a 2x or fade within 30 days. That kind of backtest context would help calibrate trust in each new alert the moment it fires.
Report
Maker
@eypqkxk In a way, graduations will do the same to some extent and reason for having Graduation alerts is to find the early movers, This is in pipeline, we update prices every two hours on incremental basis, we are still testing this, we have tested the same for the following Our delisting signals, graded honestly.
Every T1/T2 delisting we've flagged that's had 14+ days to play out. Hits and misses both. Not a highlight reel.
Of 153 T1/T2 risk-off signals flagged and resolved (14+ days out), 73.2% fell. Median -10.7% since flagged (±~1d).
Again this is based on data not just some AI slop/for marketing stint. Look out for our mobile application which would have an option to have watch lists with alerts tagged to tokens and Ai-Powered analysis would also help.
Report
Finally a dashboard that pulls exchange listings into one scrolling feed, love that I can spot new tickers the morning they land. The risk-off callouts for upcoming delistings feel genuinely useful and saved me from one bad entry already.
Report
Maker
@ayseluzerer6pg Thanks, feel free to join the waitlist for beta access.
Hey, the signal-driven approach is genuinely useful here. One thing that would make this way more actionable for me is adding historical win-rate data per listing tier, like showing how often tokens from similar announcement sources hit a 2x or fade within 30 days. That kind of backtest context would help calibrate trust in each new alert the moment it fires.
@eypqkxk In a way, graduations will do the same to some extent and reason for having Graduation alerts is to find the early movers, This is in pipeline, we update prices every two hours on incremental basis, we are still testing this, we have tested the same for the following Our delisting signals, graded honestly.
Every T1/T2 delisting we've flagged that's had 14+ days to play out. Hits and misses both. Not a highlight reel.
Of 153 T1/T2 risk-off signals flagged and resolved (14+ days out), 73.2% fell. Median -10.7% since flagged (±~1d).
Again this is based on data not just some AI slop/for marketing stint.
Look out for our mobile application which would have an option to have watch lists with alerts tagged to tokens and Ai-Powered analysis would also help.
Finally a dashboard that pulls exchange listings into one scrolling feed, love that I can spot new tickers the morning they land. The risk-off callouts for upcoming delistings feel genuinely useful and saved me from one bad entry already.
@ayseluzerer6pg Thanks, feel free to join the waitlist for beta access.