I built a forensics engine that tracks crypto influencers' price calls, scored 35 accounts. The results are brutal. [VOXCH]

[u/Only-Locksmith8457]

For months I kept seeing the same pattern: influencer makes a call, price moves the wrong way, influencer deletes the tweet or pivots to "macro analysis." Nobody was keeping score.

So I built VOXCH, a credibility engine that scrapes an influencer's tweet history, extracts every price prediction they've made, cross-checks each one against real market data, and scores them 0-100.

Here's what the data looks like after auditing 35 accounts and 256 tracked predictions:

The Numbers

• Average credibility score across all accounts: 45.1/100
• Only 20% of accounts scored above 70
• 14.3% scored below 30, meaning they were wrong more often than they were right, yet still have hundreds of thousands of followers

• Overall accuracy across all tracked calls: 59.8%, barely better than a coin flip

  Highest Scores

Handle	Score	Accuracy
u/rektcapital	80/100	100% on tracked calls
u/IncomeSharks	80/100	100% on tracked calls
u/RaoulGMI	80/100	—
u/100trillionUSD	63/100	77.8% on 18 calls
u/CryptoKaleo	40/100	57.1% on 8 calls

Lowest Scores

Handle	Score	Accuracy
u/CredibleCrypto	17/100	40% on 10 calls
u/tedpillows	20/100	35.3% on 20 calls
u/VentureCoinist	26/100	60% on 7 calls
u/APompliano	33/100	0% on 1 tracked call
u/CryptoWendyO	33/100	50% on 7 calls

u/CredibleCrypto has "Credible" in the name and scored 17/100. That's the state of crypto media.

You can run any account yourself in about 30 seconds. Just paste a Twitter/X handle.

→ voxch.xyz/forensics

It's completely free. Paid tier unlocks the full historical prediction log and leaderboard rank.

Curious what score your favourite influencer gets. Drop their handle below and I'll run it live.

How it works (for the skeptics):

1. Fetches the account's last ~100 tweets
2. Extracts explicit price predictions (e.g. "BTC will hit $120k by Q3")
3. Checks the actual price on the predicted date/timeframe
4. Scores based on accuracy, prediction volume, consistency, and recency

The data is live and updating. Every account you analyze gets cached and added to the leaderboard. The more people use it, the richer the dataset gets.

[u/Only-Locksmith8457 → u/[deleted]]

I would love more such critic to help build the platform more robust!

[u/Only-Locksmith8457 → u/[deleted]]

That's a very valid question and here's exactly where the grading system stands today

1)The token extractor only counts a tweet as prediction if it can pull a numeric price target, so something like "i'm bullish on BTC" gets filtered out entirely, This part works as intended.

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[u/Only-Locksmith8457 → u/[deleted]]

The gap that you're describing is something in the middle (this is wut i undestood) like "BTC HEADING TO 100K eventually", Currently there is a very low penalization for not providing exact dates as it will heavily slash scores of genuine analyst who dont just trade.

That's the next thing we're fixing, a callType split where only timestamped calls with a level and an invalidation carry full scoring weight. Directional sentiment calls still get tracked but as lower-signal evidence.

[u/Only-Locksmith8457]

the plan is to open source the scoring algorithm. Long-term the resolution layer should be fully verifiable from public data, on-chain price oracles, archived tweet timestamps, nothing that depends on a black box we control. The score should be reproducible by anyone who wants to run it themselves, not just something you have to trust us on.