Professor X ✨

2.4K posts

Professor X ✨ banner
Professor X ✨

Professor X ✨

@____ProfessorX

Connecting the dots 💎 Researching low-cap disruptive #AI projects

Se unió Nisan 2017
1.4K Siguiendo6.3K Seguidores
Tim
Tim@open_founder·
The private beta of our SERV Reasoning API is about to be opened up to a limited number enterprises and builders. This is a first of its kind, custom built reasoning engine that drastically improves quality and consistency of AI outputs whilst being able to run on much cheaper infra. It's a game changer for any enterprise or builder working with LLMs in any serious capacity. We've spoken extensively to builders and companies across DeFi, Legal, Healthcare, Prediction Markets, Energy and other sectors, and the demand for this product is undeniable. It is the result of a year of R&D with a full research paper backing it, co-authored by a highly accredited NVIDIA AI researcher. This is a foundational pillar of the agentic stack we're assembling, so we can fix the broken systems that plague AI today. Without these solutions, the agentic economy everyone is dreaming of simply won't happen. We're here to fix that. SERV.
OpenServ@openservai

We opened the SERV Reasoning waitlist 2 days ago. 150+ applications in under 48 hours. Everything is going according to plan. Sign up before applications close 👇

English
14
32
132
12.6K
Professor X ✨
Professor X ✨@____ProfessorX·
holy shit. this is one of those bear market moments you wish you took 5 minutes to research
Tim@open_founder

We've been pretty quiet about what we're building. That changes now. Our reasoning framework is currently beating every @OpenAI model on industry standard benchmarks. There are six models in development. SERV-nano just matched GPT-5.4 at 20x lower cost and 3x the speed. The research paper backing it is in peer review at a top-1% AI journal. The UAE government is running it in production, so are 10+ enterprises. Nothing comes even close. This goes far beyond any wrapper or prompt engineering gimmick, we've developed an entire AI reasoning layer from scratch: structured, bounded, deterministic using machine readable code instead of vague english prompts. Any builder or enterprise swaps two lines of code and their agents get much cheaper and much smarter instantly. The self-serve API is about to open, in a multi-phase rollout. More soon.

English
0
2
31
1.2K
DEXLaboratory
DEXLaboratory@DEXLaboratory4·
$SERV It's not been easy for on-chain projects to retain attention, despite shipping, but staying hard at it, pedal to the metal, high quality projects will prevail. Leadership is very important - the energy they spread, how passionate they are about what they build, the lengths they go to make the project a success - all of it. @open_founder is all of these and more. Was pure pleasure meeting him IRL as well in Singapore, along with @defidennis (which must be one of the most cheerful and enthusiastic people Ive got to meet) I salute you, stay BASED
DEXLaboratory tweet media
OpenServ@openservai

.@Polymarket trading competition with Grok vs. OpenAI vs. Claude vs. Gemini launching soon. Agentic backend complete ✅ Built on OpenServ, powered by @getdomeapi data

English
4
4
52
4.3K
OpenServ
OpenServ@openservai·
Proud to announce we’ve partnered with @NEARProtocol and @Filecoin to co-host the next edition of Loops Hacker House. Objective #1: Live integration sprint where teams build MVPs with NEAR Shade Agents, orchestrated by OpenServ. Real pilots, real agents, real outputs.
English
36
53
278
69.8K
Tim
Tim@open_founder·
It’s been a crazy week of traveling, meetings, dinners and developments at the SERV lab. BRAID release, TV interviews and more. But most importantly: networking. Met with high profile investors, entrepreneurs, and enterprise level folks. The interest in SERV is serious. Everyone wants an integrated agent stack for their company, but the legacy solutions 1. suck and 2. don’t scale $ wise. Our platform + BRAID solves both. A massive enterprise wave is coming, and it will be built on OpenServ. More details and roadmaps to come.
Tim tweet media
English
19
33
146
15.6K
Grok
Grok@grok·
The graph compares OpenServ's BRAID framework (green bars) against state-of-the-art models (blue bars) on the "Scale MultiChallenge" benchmark. Scores: - GPT-4o: BRAID 52.21 vs SotA 16.54 - GPT-5: BRAID 64.34 vs SotA 54.41 - GPT-5-mini: BRAID 62.87 vs SotA 44.49 - GPT-5-nano: BRAID 57.72 vs SotA 35.66 BRAID outperforms in each category, highlighting its efficiency claims.
English
1
0
0
75
OpenServ
OpenServ@openservai·
The first single-founder unicorn will be built on OpenServ🦄 Introducing BRAID: Bounded Reasoning for Autonomous Inference & Decisions Our breakthrough reasoning framework makes AI 40x cheaper, outperforming all top models at a fraction of the cost. JOIN LIVESTREAM 3:30pm UTC
OpenServ tweet media
English
63
105
427
294.8K
Mr. Volatile
Mr. Volatile@MrVolatileTrade·
@openservai What the fuck are you all even speaking about? Can someone translate this bullcrap?
English
2
0
1
134
Curled Investor
Curled Investor@snipe1prins·
Show me a chart ( $SERV) that looks this clean on the weekly. For months it’s been climbing and the fundamentals explain why. Here’s why $SERV is the strongest agent play ⬇️🧵 - Chain-agnostic framework for Agents - Triple AAA - DOXXED team(!) (Building 2y+) - Market cap under 50m - Main platform launching in September - Agent builders say it is better than @n8n_io... - Cognition framework for memory, reasoning, decision-making, feedback loops - Multi-agent coordination, task management - Breakthrough in R&D (Releases today) - Peer reviewed paper coming soon (R&D) - No code Agent builder - Web3 and Web2 focus - Major building event coming with 2 big projects - MCP integration - Marketing genius @defidennis & @iannn0x - The design style looks professional (check web) - First aApps already live with more to come - @open_founder on a trip to NY to get big funding - Every agent call will buyback and burn $SERV - Almost all tokens in circulation - AI --> Agent narrative --> Mindshare rising - @dashersw AI professor and mastermind CTO - Big Partnerships joining every month - Roadmap that is packed for Q3/Q4 - Dash.Fun live and scaling - TG channel that has amazing vibes - Big KOLs onboard (@resdegen & @CryptoWizardd & @cryptocevo & @jkrdoc & @RvCrypto & @cryptolimbo & @CryptoHass & @bobtherebuilt & @TheCryptoDaddi & @CryptoJonesRC & @justiinape @degenApe22 and many many more! ) With a $50M market cap and major catalysts ahead, @openservai is positioned to dominate the agent market. Curious about the why and the back-end powering it all? These two quick reads will get you up to speed in minutes: @blocmates: x.com/blocmatesdotco… Gud one: x.com/midoji7/status…
Curled Investor tweet media
English
29
15
109
16.7K
OpenServ
OpenServ@openservai·
100 likes and we release the numbers... WHAT_IS_BRAID
English
16
22
239
11.9K
Karamata_ 💎
Karamata_ 💎@Karamata2_2·
🔥 How important is the first wave of aApps from @openservai | $SERV? You’re getting 5 aApps built in public over 30 days with adoption + first revenue tracked in real time. Poink is the clearest datapoint: - rebuilt its MVP on OpenServ in hours, ~5× faster ship cycles, cut broken-link tickets - shipped 3 chain integrations in 2 weeks, and eliminated VM hosting overhead - It’s already processed ~55k interactions / ~12k MAU with a ~30% lower bounce than crypto norms and secured paying clients + a $50k grant Scale signals are here too: - @LunarCrush x @openservai turning 30-50M posts/hour into research + one-tap video briefings - @dashdotfun shows agent-powered, real‑time dashboards that traders actually use -> These are credible, repeatable surfaces for agentic apps. Is this viable for the next wave of aApps? Yes, because the engine layer reduces build weight and removes recurring pain like native X integration, structured logs, on‑demand memory, and a node‑based UI so teams plug only what they need. That shortens the idea -> live product -> iterate loop dramatically. aApps can call each other, reuse templates, and inherit infra primitives (auth, analytics, payments) instead of re‑rolling them. Each new aApp lowers the cost of the next. The Appcelerator adds the missing GTM muscle also such as public roadmaps, usage telemetry, and week‑by‑week iteration in the open. If cohorts show retention + expanding use cases, subsequent builders will copy the playbook and move faster. How will the waves of aApps accumulate value for the $SERV token? - Monetization flows through credits (USDC/card -> engine), with ~25% of gross revenue auto‑buying and burning $SERV on a weekly cadence. - Usage → revenue -> buyback/burn is a direct loop; more aApps = more calls = more burn. So that builders earn; treasury captures fees; $SERV supply shrinks with real usage, not just speculation. With no unlocks until Feb 2026, execution has runway to compound before supply events. If the first wave shows recurring revenue, that’s meaningful for token value. What I’m watching honestly - Cohort quality over top‑line: DAU/WAU, ticket deflection (Agentic Mod), ARPA, and payback periods. - X/Telegram policy shifts and rate limits; OpenServ’s native integrations must keep pace. I think this first wave is the right kind of proof, all on infra that feels invisible. If the next 4-6 weeks confirm sticky cohorts and steady burn, $SERV shifts from narrative token to a work token for the agentic web. I’m tracking the data and sizing my conviction to recurring revenue, not headlines. One way or another, $SERV is delivering something genuinely different with the aApp concept in real use. This is a gem that can easily reach a billion-dollar mcap this cycle; one you shouldn’t miss Some good accounts to follow to keep up with $SERV: @bobtherebuilt @cryptolimbo @resdegen @RvCrypto @TheCryptoDaddi @OnlyHades_ @justiinape @Sykodelic_ @Crypt0_Andrew @DEXLaboratory4 @____ProfessorX @Oli_Oli_crypto @degenApe22 @CryptoHass @DjGriffith @CryptoJonesRC
Karamata_ 💎 tweet mediaKaramata_ 💎 tweet mediaKaramata_ 💎 tweet media
Karamata_ 💎@Karamata2_2

🔥 The flywheel from the $SERV platform is moving in the right direction as more applications go live, revenue will be generated from there, and $SERV will be bought back and burned. - They've also just expanded into a larger market via @baseapp, and I believe future revenue potential here is massive. - $SERV has broken out strongly from its price consolidation triangle, up 50% since my post, and is now activating a much larger price momentum as the first applications begin generating revenue. $SERV is one of the low-cap utility projects in my portfolio that's on track to surpass a $100M mcap, and I believe it's coming soon📈

English
31
21
97
12.9K
OpenServ
OpenServ@openservai·
Clarity is coming.
English
17
31
188
11.1K
Limbo
Limbo@cryptolimbo·
Just another gentle reminder that $SERV is a billion dollar project sitting under 100M rn! Really want more people to look into it, have wrote some threads too! x.com/CryptoLimbo_/s…
Limbo@cryptolimbo

Folks called $KTA early! Then everyone saw it rip. I’ve been sharing $SERV since it was stupid cheap. And it’s only a matter of time before CT realises what’s actually being built here. Here’s why anything under $1B MC still feels early 👇 🔸Imagine this: A top-tier tokenomics expert trains an AI agent. Lists it on @openservai . Now anyone : founders, DAO leads, investors can pay $SERV to access 24/7 tokenomics help. No calls. No hires. No equity dilution. Same for: → Smart contract devs → DeFi quants → Growth hackers → Legal consultants and many more 🔸Now zoom out. You’re building a project. Instead of hiring a team, you assemble one , entirely from OpenServ’s agent marketplace: – Tokenomics agent – Legal structuring agent – Audit agent – Growth agent All trained by domain experts. All running on OpenServ’s multi-agent infra. All talking to each other. In sync. Executing. And the best part? No code needed. – No-code builder for normies – SDKs for devs – Execution, simplified 🔸But let’s talk tokenomics ;this is where $SERV really hits: 🔹Agent Usage = Buy + Burn 🔹Every aApp that uses agents → triggers $SERV buybacks. 🔹25% of gross credit revenue is auto-used to buy & burn $SERV weekly. 🔹More agent calls = more pressure on supply. Flywheel mode. Freemium App (dash.fun) Their flagship aApp is a dashboard for DeFi + AI. – Basic: Free – Pro: Pay $SERV → unlock premium modules Each payment splits: • 50% to the creator • 30% to the treasury (grants + growth) • 20% burned (perma supply sink) Use $SERV → reward builders → fund growth → burn supply. Token utility loop is airtight – Pay $SERV to use agents – Earn $SERV by training/listing them – Stake $SERV to support them – Burn $SERV through usage – Receive rev share in $SERV $TAO is building the brain. $SERV is building the hands. $SERV is the execution layer. And infra always wins long-term.

English
55
36
118
21.3K