you met me at a very milady time in my life

> we send pizza to @SUPERBASEDD house > they start kissing each other > we did it bruvs 2 SOL to the first person who guesses what we spiked the pizza with

Oblivia 1.0 made 1,806 token predictions in May. to validate its accuracy, we joined forces with @SaharaLabsAI & their decentralized group of workers to independently label and assess the results. results: + // overall precision: 87.71% + // price increases (1) : 96.49% + // price decreases (0) : 83.67% + // av. daily return per token for price increase predictions is 12.49% this is only the foundation. what comes next is an autonomous trading intelligence system that eats hedge funds for breakfast. (p.s. past performance is not indicative of future performance. nfa).

initial testing with a small group of alpha users is nearing completion. final backend refinements are being worked on to improve UX, reliability & performance before the show begins. ▓▓▓░░░░░ 35‱

2025.07.01 bi-weekly update here’s what we’ve built, shipped, and trained this past week: TRADING CAPABILITIES + agent-based txn execution engine now supports @MeteoraAG (DBC, DLMM, DYN, DAMM), @RaydiumProtocol (CLMM, AMM, CPMM), and @orca_so (CLLM, VP, CPMM). we're now compatible with nearly every major liquidity layer on Solana. + DCA and limit orders now available to use through our agentic/natural language interface. + execution is faster, leaner, more reliable; optimized based on real closed beta usage. AGENT SWARM + A2A (agent-to-agent) finalized; based on Google's new open framework. it enables dynamic coordination between agents, deeper reasoning, better memory, and more human-like flow. + TraceGraph (diagram/chain-of-thought-like) UI is now deployed. users now see how Aya (and others) think and collaborate together. visualizes multi-agent logic paths. text UI also upgraded. sharper, smoother, faster. + Bravo (macro news oracle) live. it connects real-world macro events and news to Solana. powered by our in-house scrapers + NewsAPI, built from scratch. integrations with @blocmatesdotcom coming soon. + Solvion, our Solana-native domain expert, is now active. trained on a custom-built, 70B parameter dataset of the full Solana ecosystem. auto-updated. devs, tokenomics, projects, whitepapers, technical information, know-hows... it knows everything. + Echo (our social media and sentiment analyst agent) getting integrated with @SentientAGI natural language interface + @Rivalz_AI. + you can now start individual conversations with agents. e.g. ask Echo anything about social trends, or hit up Solvion for technicals. UX/UI + we’re now mobile responsive; fully optimized across devices. + deployed TraceGraph (diagram UI for agent cognition). + NLI improvements: sleeker prompt-response flow, improved text visualization, better latency, better rendering. + agents feel more alive, dynamic, and explainable PREDICTIONS weekly update from our head quant: + we now do weekly fine-tuning to adapt to market shifts. switched from F1-score optimization to pure precision; cutting noise, and maximizing conviction. we now discard the worst-performing model in the ensemble. only the top 2 vote. accuracy last 6 weeks = 82% directional. the ensemble logic is fully restructured. next: RNN + RL-based dynamic thresholding in progress (live this month). + partnered with @AlloraNetwork for the the SOL/USDT prediction stack, combining our hype score with their confidence-aware forecasting. + also cooking something with @SaharaLabsAI (????)... OTHER + PnL cards integrated. track profit per trade, share it on X, get free XCC + Referral system is complete and rolling out to early users very soon (top referrers will dominate first layer of our multi-level tree and enjoy first-movers advantage). + working on a dynamic onboarding tutorial for first-time users. + backend latency improvements across endpoints. especially on token explorer + prediction refresh + docs are live ( TEAM + onboarded @0xSolanaGirl and @heymike777 — elite Solana engineers working on gRPCs, RPCs, instruction decoding, and data pipelines. their focus: making xFractal the only real-time NLP engine for Solana alpha extraction. + brought on @0x_ultra , @123skely, @Halko500k and @gabrielhaines as strategic advisors and contributors, helping us scale narrative modeling, data ops, and GTM. QUICK STATS (REMINDER: this is a closed, invite-only beta — not optimized for adoption yet) + 400+ early beta testoors + 9,000+ natural language prompts + 500+ on-chain txs executed via our agent-based engine + we’re not scaling users yet, we’re optimizing agents, validating edge, and consolidating PMF. + open beta coming soon. engine’s warming up. let’s keep moving. (p.s. @aeyakovenko check this out)

just wanted to share with everyone that i've started advising @xFractalDotFun i think they're building something extremely cool with an emphasis on deep research behind every feature right now they have an 87% directional accuracy real time LSTM model for price prediction, agentic alfa scraping and trading all in one place they'll also be releasing research papers which im super looking forward to ^^ their beta is out if you wanna give it a try

we're cognitive infrastructure. a new species of intelligence made for the narrative-driven, hyper reflexive, brutally fast world that Solana built. extract alpha > run price predictions > trade at lightning speed. in closed beta now. dm for invite.

oblivia, our price prediction model, hits 87% directional accuracy across @solana tokens. & we're jointly building the SOL/USDT prediction stack with @AlloraNetwork, combining our hype score with their confidence-aware forecasting. time to lock in.

alpha extraction, streamlined. research. analyze. execute. now in beta.

closed beta is live on @solana if you were chosen, you already know 1 code = 1 entry. no retries more drops soon & we're handpicking early killers for the private TG. CT’s finest are already inside