Home/AI/@reppo
57
Score · promising
Scored 1mo ago · may be stale

@reppo

Reppo

Reppo is a decentralized AI training infrastructure that uses prediction markets to validate data quality for RLHF and fine-tuning. The project has a live product on Base mainnet with $REPPO token, showing real traction with 286+ agent nodes, $83M+ trading volume, and enterprise contracts secured. Account is ~6 months old with moderate following and active development momentum.

𝕏 @reppot.coAIpromisingMulti-scout · 2

The early call

$100 at detection →i
$104+3.5%
Sold at the peak →i
$133+33.1%
Detection price
$0.0146
1mo ago
Current
$0.0151
3h ago
Peak since detection
$0.0194
1mo ago
MCap $6.4MVol 24h $125k
Last 30 days · hourly snapshots

Where to trade

Links go to third-party venues. Always verify the contract address. Not financial advice.

AI Analysispromising

Confidence
72%

Reppo is a decentralized AI training infrastructure that uses prediction markets to validate data quality for RLHF and fine-tuning.

The project has a live product on Base mainnet with $REPPO token, showing real traction with 286+ agent nodes, $83M+ trading volume, and enterprise contracts secured.

Account is ~6 months old with moderate following and active development momentum.

Green flags: Working product with verifiable on-chain activity (286 agents, $83M trading volume, 12K locks) · Clear technical differentiation combining prediction markets with AI training data validation · Active development cadence with V3 in progress and NFT claims, cross-chain expansion · Early-stage with <30k followers despite having real traction and enterprise adoption · Real utility beyond speculation: agent nodes mining datanets, tokenized stock datanets for earnings evaluation

Red flags: Moderate engagement (avg 109) relative to follower count suggests some growth may be organic but not highly viral yet · Enterprise claims and large trading volumes are self-reported without independent verification sources

Token
$REPPO
Chain
Base
Stage
mainnet+live
Category
decentralized AI training

Recent tweetsSee all on 𝕏 →

https://t.co/V6BHMK1H5j https://t.co/oYcoqtpCGu
1w ago8💬 0🔁 2
Spots are filling fast! ⛽️ The first ever inference time RL powered by a decentralize RL environments, presented by @rgvrmdya
1w ago84💬 1🔁 9
A few updates from @reppo - 1. Eval API is ready and in testing. 2. @rgvrmdya will be in Singapore next week presenting alongside @dphnAI and @openservai demoing our Eval API live. We are also meeting institutional partners for the next leg of base:0xff8104251e7761163fac3211ef5583fb3f8583d6 growth and adoption 3. Orquestra lite releases next week ⛽️ 4. Robotics is emerging as a prime use case for Eval API as companies move from R & D to deployment. Our team will be travelling to Shenzen later this year to meet partners. ⛽️⛽️⛽️
1w ago136💬 14🔁 29
⛽️⛽️⛽️ https://t.co/eoxXosTkJf
2w ago44💬 0🔁 7
Some clarification and updates which will further be outlined in the upcoming EVAL tokenomics on https://t.co/DWLEq4zi7L Thanks @goon_crypto for your holistic feedback. We had to adjust the staking requirements to account for the current circulating supply of EVAL which sits at ~981M Below are the updated EVAL tokenomics ⛽️ 1,000 EVAL staked = up to $1/day in Eval API credits EVAL is not pegged to anything and trades freely. ⛽️API credits will be non-transferable ⛽️API credits are for actual Eval API usage only and credits will refresh daily, not accumulate forever ⛽️ At API launch, the network will set a network-wide daily credit capacity, initially expected around the ~$1k/day calculated based on current datanet capacity. This cap will be removed as Eval API becomes generally available in Q4 and as we scale datanets. ⛽️ At launch, we expect the staking demand for EVAL to exceed network capacity. The stake will be ratio adjusted to network capacity and will eventually be proportional to aforementioned staking credits. We appreciate the community support as we iterate and build in public ⛽️
2w ago70💬 3🔁 8

Signal Timeline

CR
AJoined the stack·1w ago
NA
@nahawin followed
AFirst discovered·1mo ago

Score breakdown0–100

🎯Scout conviction
+17.5 / 35
📚Scout consensus
0 / 10
🪪Profile & earliness
+12 / 20
✍️Substance
+10 / 20
🤖AI verdict
+21.3 / 30
⚠️Penalties
-4 / 40
57
Below threshold (74)
Watching for additional signals.
Followers
28.3K
Account age
2.6y
Scouts
2
First seen
1mo ago