bubits

got bored... Starting a 1 → 100 SOL challenge. Any good shitters?

SERV Summer 🏝️

@open_founder upcoming updates are looking segsy. Reliability is the biggest blocker atm, SERV aims to end this problem. bullish.

Institutional adoption of AI agents needs auditability. > Reliability gets agents into production > Auditability earns trust > Cost efficiency makes deployment scalable SERV brings all three under one product, unlocking agentic AI for startups, enterprises, and governments.

Buy Bitcoin.

SERV Reasoning Private Beta is one month in. Don't take our word - hear from builders inside. 👇

@openservai Bullish

SERV is building the infrastructure layer for the agent economy in real time and this week proved it. In the past week alone at SERV: • Private Beta crossed 100,000 requests. • Greg Ivanov, ex-Google, joined as key advisor. • Phase 2.4 was revealed - agent auditing at scale with Graph Sharding. Enterprise: • 3 enterprises moved their workloads to SERV. • Neol hit 100% reliability with the UAE government. Benchmarks held the pattern: • Qwen 3.7-Max with SERV beat every frontier model tested. • Gemini 3.5 Flash launched and was made stronger by SERV the same day. Next up: wish we could tell you already. 👀

@open_founder 👀

SERV Reasoning 🤝 _______ __ Coming soon.

@PhilOnChain Really interesting, couldn’t never expect this from limitless

most people look at prediction markets and see headline volume numbers. the more interesting question is the shape of the growth, because volume, trades and users tell three different stories, and the ratios between them tell a fourth. volume ÷ trades = avg ticket size trades ÷ users = engagement per user users = top of funnel jul 25 → april 27, the three largest venues show two distinct growth shapes: kalshi (17x volume, 22x trades) and polymarket (6x volume, 17x trades, 2.1x users) both grew trade count much faster than volume. that means avg ticket size is compressing while activity explodes. it's the classic mainstream adoption shape, lots of new retail entering at smaller size and trading often. strong retention, broad reach. limitless (184x volume, 29x trades, 29x users) is the only one where volume grew faster than both trades and users. avg ticket is expanding while the user base is widening at the same time. usually when a product scales in breadth, ticket size dilutes. here the opposite is happening, which means bigger bets per user and higher conviction coming in alongside the new users, not instead of them. two legitimate growth stories running in parallel. kalshi and polymarket are winning the mainstream layer with high engagement and small tickets. limitless is winning the crypto-native layer with ticket size scaling up as the user count scales up.

@openservai Damnnn

Frontier models are expensive, slow, and the default choice for most builders. We ran SERV Reasoning against three of them simultaneously. Watch what happens. (The gap is bigger than you think)

@openservai @iamfakeguru With Serv you’re the one who knocks

How fast is serv-swift? Runs roughly 9× faster than frontier models like GPT 5.4 Here's the proof 👇

@PhilOnChain Oh boy I love it

cove is the type of smooth product that makes onboarding look easy one USDC balance. multiple chains. no bridging. no managing gas across native tokens.

@openservai OpenServ is ripping

SERV Reasoning rollout: from API to our own models. Here’s how we’re opening it up. We outperform frontier labs on industry benchmarks. Soon, any developer and enterprise can switch with a single line of code - cheaper, faster, more accurate. 5 phases are in motion. Read on: Phase 0 (done): enhancement engine built, API live, closed alpha running. Phase 1 (opening soon): private beta for selected enterprises and teams. Phase 2: public API, self-serve onboarding Phase 3: fine-tuned SERV-native model Phase 4: purpose-built model trained from scratch Our agents, our reasoning, our stack. The UAE gov already uses it - now we open it up. Sign up for the waitlist here: 👇 openserv.typeform.com/to/dG8koJgd

@SolRouterAI Privacy really gives an edge here

Encrypted AI agents on Solana. Token analysis. Web scraping. Repo audits. All private.

@openservai Looks sick

Meet SERV AI Cofounder A full team of AI agents running inside a single workspace Coder, reviewer, and PM all working autonomously so you can focus on what actually matters This is the Run layer

@openservai If you wanna scale you have to cut down on your maintenance costs. Serv is taking the right direction to this

$912 saved in 30 days just by switching to SERV Reasoning. That is 33% back every single month just by using our model instead of standard models. The agent economy runs on infrastructure that does not bleed you dry.

@WhiteHouse That’s retarded

STRIKE. 💥🦅

@stacy_muur Ooof

Remember when yall were selling your ETH to buy pixels here?

@openservai 👀👀

Weekly Recap > Cortex integrated SERV Reasoning into their multi-agent DeFi risk engine > World's first human-to-agent interview happened with SERV > The UAE government is using SERV We are working on delivering a public API for our SERV Reasoning model Next week is looking juicy