This year was a step-change for 💎RateXAI Labs: we strengthened the core team, shipped production products, scaled infrastructure, and built new growth engines.
• Engineering upgrade: new CTO joined; execution speed and architecture improved.
• @INSIDERAA_bot trading game: ~1.5M total users; ~30–50K MAU; ~100K completed the full TA lessons track.
• RAA.Vision ☀️Lab: market emotional intelligence research, published pieces, product concept in active packaging.
• Infra rebuild: corporate-grade Big Data stack; Solana full-history readiness; heavy indexing supported.
• Data Lake scale: ~2.5B wallets indexed and growing.
• Organic growth: ~40K monthly website visitors; steady registrations without paid ads.
• Scoring shipped: Token Scoring v2 + Stablecoin Risk Rating (RAS-powered).
• Agent pipeline: ~30 active AI agents; roadmap up to 150 + user-launched agents.
• DEXplorer progress: Pro terminal in closed beta / E2E trading tests; execution reliability hardening.
• InfoFi Intelligence: digest hub + intelligence workflows in closed testing and iteration.
• Visibility: Token2049, Breakpoint, Abu Dhabi FinTech Week + AL4AConf Moscow; Headliners podcast episode with our CEO on RateXAI.
We enter next year with a stronger platform and a clearer scaling path🪙
Guys, we're getting really serious about this.
We thinking of calling her Rai or Roi?
What do you think?
❤️For Rai
👍For Roi
She'll be flirting with our traders and, of course, helping with trading setups and rebalancing your portfolios.
ZAMA Pre-TGE Scoring Report by RateXAI Labs
FHE infrastructure powering confidential DeFi. $138M raised, $1B private valuation, J.P. Morgan PoC.
Rating: A (70/100) | VFR: 1.12x
Auction live now on CoinList — floor $55M, futures at ~$700M.
Full breakdown inside
Solana is at $89, down 70% from the ATH, and it looks like the market has written it off.
But in the RateXAI Post-TGE model it scores AA 85/100, with near best-in-class tokenomics: 91% of supply already circulating, dilution risk around +14%, fair value ratio 0.92x (about $55B fair value versus ~$50B market cap).
On real usage it is not a “promise” category anymore: ~70M transactions per day, 4M+ active addresses weekly, #1 chain by DEX volume (1.5T+ YTD), ~$5B+ annualized ecosystem fees, DeFi TVL around $8–9B (#2 after Ethereum). It also has institutional access via spot SOL ETFs (BSOL, TSOL).
The contrast versus most alt-L1s is simple: worse float and higher future dilution, while SOL is already largely unlocked and priced near fair value. The risks are clear: a history of outages, a meaningful share of 2025 volume driven by memes, and pressure from Ethereum L2s.
12-month outlook is scenario-based: $60 bear case (20%), $150 base case (50%), $300 bull case (30%).
The model’s positioning is accumulation below $100, strong support around $60, key resistance levels at $150 and $200, ATH at ~$295.
Investment Demo Day: RateXAI × Fintch @Fintchone
Zoom: 26 Feb, 19:00 (MSC)
Join instructions (Save)
https://us06web.zoom.us/meetings/89946181238/invitations?signature=jq7bTfcWlbPPIQn0FcquZwKpL6dpYMTA3segyCUrVnM
Together with Fintch we are hosting a private Investment Demo Day.
We will break down:
• Agentic AI Trading revolution
• Risk First DEX Trading Terminal
• Big Data scoring architecture
• our go-to-market strategy
• how we onboarded 2,000 trader bloggers
• InfoFi + SocialFi platform
• scaling and growth roadmap
• investment opportunities
Live product demo. Real metrics. Open discussion.
Following RateXAI was already enough to make money.
Subscription simply accelerates the process.
On Feb 12, we published the full Post-TGE report on $TAO at ~$157 → +136% since.
On Mar 6, we made it public at ~$177 → +109% in <1 month.
Now the market is finally paying attention. But it always works the same way: structure → narrative → crowd. That was the point of the report.
Our thesis was based on structural analysis: token architecture, liquidity conditions, market positioning, scenario mapping.
Model at the time: Base $300 (+91%), Bull $600 (+282%).
This isn’t about calling pumps. It’s about identifying asymmetric setups before they become obvious.
And $TAO is not the only example.
$ZRO → https://x.com/i/status/2032841080043925523
$HYPE → https://x.com/i/status/2028550853565591719
Мore alpha in our X. Even more — inside RateXAI.
Most react when everyone is already talking. We aim to see structure first.