@s0lverr
why i'm very long on @indexy ($i) :
1/
crypto discovery is still messy. plenty of charts, not enough signal. good research lives in private chats. everyone else arrives late.
2/
indexy turns research into a real product. structured, comparable, rewarded.
3/
the core unit is an index. themed baskets like ai, rwa, social, infra, memecoins, cross chain. you group assets, set weights, and track them like a portfolio.
4/
on top sits a kpi layer. not just price and volume. normalized signals you can compare at a glance. mindshare, volatility tiers, strength versus btc, distance from ath, base performance since a start date.
5/
why this matters. kpis compress noise into something you can rank. is ai gaining mindshare this week. which l2 indexes beat btc on a 30 day basis. you can answer fast.
6/
it works across chains by default. you stop juggling ten tools for one theme. one view that is apples to apples.
7/
the incentive design is contests. researchers publish indexes, compete, get ranked, get rewarded. less engagement farming, more signal.
8/
there is an api for builders. indexes, kpis, highlights, mindshare. machine readable for bots, agents, and internal screens. this is how research plugs into automation.
9/
why it is a good product. clear job to be done. structure the chaos, compare segments, track momentum. incentives reward quality instead of hype. primitives that scale as coverage grows. an api that powers real workflows.
10/
what i am watching. are kpis useful in practice, not just descriptive. do contests attract real talent and repeat participation. does the api show up inside agents and trader dashboards.
11/
if execution stays tight, indexy can become a distributed bloomberg layer for crypto. public research objects, a common language through kpis, an open arena that moves the best work out of dms and into markets.
12/
net net. solid primitives, aligned incentives, the right surface for builders. this can compound.
congrats @kaloh, you did a lot in just a few months.
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