I built a crypto data API that ignores CEXs to cut costs by 85%

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The current pricing for crypto data APIs (CoinGecko/CMC) is based on a legacy requirement: maintaining hundreds of real-time websocket connections to centralized exchanges (Binance, Coinbase, Kraken, etc.). That infrastructure is heavy, expensive, and requires constant maintenance to filter wash-trading and normalize order books. But if you are building for DeFi, that data is technically irrelevant. The "real" executable price is on-chain (Uniswap, Raydium, Curve). I realized that if I just ignored the CEXs entirely and only indexed the blockchain, I could drop the cost basis by an order of magnitude. So I built qoery.com It indexes DEX logs directly from RPC nodes. It doesn't touch centralized exchange data. The Trade-off: If you need global VWAP (Volume Weighted Average Price) including Binance/Coinbase, this API is useless to you. If you need the actual on-chain price for a dApp or wallet, this is the exact same data as the big guys, but ~85% cheaper (starts at $3.99 vs ~$35). I’m curious if there are edge cases I’m missing where a DeFi app would strictly require off-chain CEX data?

Visit product View on Hacker NewsDec 29, 2025

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

76%76% 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.

TrustMRRLess likely to generate early MRR · Strong signals: trading · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apis · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

33%33% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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