Specialized AI models & agents. R&D + GTM partner for AI-native teams.
Joined November 2022
- Tweets2.1K
- Following53
- Followers298K
- Likes5.8K
Treasury burn complete.
Burned: 70,143,912 ASRR
Total supply now: ~29.85M ASRR
Tx 1 (test): 912 ASRR
orbmarkets.io/tx/4hf4TqEbEKC…
Tx 2: 70,143,000 ASRR
orbmarkets.io/tx/2KBs7CXifJp…
Assisterr is winding down.
After years of building, we've made the decision to close Assisterr. From today, the team no longer develops or supports the platform, ASRR token, or the Assisterr ecosystem.
At our peak, 40,000+ agents were deployed with Assisterr, used by 5M+ users, with 200+ partners and integrations. We also put a lot of effort into the builder community through events and competitions worldwide, including the Solana AI Hackathon, UK Agent Hack, and many others.
We built, shipped, and experimented to find a sustainable business model. In the end, we didn't find one that could support the company long-term.
What happens next:
Within 24 hours, all treasury tokens (~70% of ASRR supply) will be burned. We'll post the transaction hash here. Mint and freeze authority were already revoked, so no new ASRR can ever be created.
The ASRR/SOL pool on Meteora is permanently locked and stays live. The company will not buy or sell ASRR.
Assisterr products have already been shut down.
Any community activity around ASRR is independent of Assisterr.
There is no refund, airdrop, or migration. Please ignore anyone who claims otherwise.
Thank you to every builder, user, partner, and supporter who was part of this journey!
assisterr retweeted
Everyone's shipping AI agents. Nobody's scoring them properly.
@ASRR team just dropped @Laureum_ai
6-axis quality scoring for MCP servers + agents. Multi-judge LLM consensus, adversarial probes, public leaderboard.
Free, no signup. Paste a URL, get a score in 30s → laureum.ai/evaluate
Introducing @Laureum_ai — quality scoring for MCP servers and AI agents by @assisterr
We score 6 dimensions: accuracy, safety, reliability, process quality, latency, and schema quality.
Multi-judge LLM consensus + adversarial probes.
We've scored 28 public MCP servers to date.
Average: 68.3/100. 6 in Expert tier (≥85).
The weakness nobody else measures: process quality — averaging 55.5/100.
Here's why we built it👇
Three gaps in agent eval today:
→ Marketplaces curate by hand. A major MCP catalog operator pruned 17 abandoned /vanity / impersonation entries from their own catalog earlier this month — manually.
→ Eval frameworks (LangSmith, Braintrust, Galileo) score tool-call correctness well. Process quality — error handling, input validation, response structure — sits between them, and nobody surfaces it as a named composite.
→ Post-Drift, the Solana ecosystem just launched STRIDE for smart-contract security. Agent infra still ships without pre-deploy quality gates.
Laureum is the missing layer.
Free right now, no signup:
1/ Quick Scan — paste any MCP server URL, get a 30-second 6-axis score → laureum.ai/evaluate
2/ Public leaderboard — see how the most-used servers rank → laureum.ai/leaderboardIf you're building, run yours. Reply with your score — we'll feature the top 5 this week.
End of the tweet.
Building AI agents or MCP servers?
- score it with @Laureum_ai and get your embeddable trust badge ✅
1/2
Introducing Laureum — quality scoring for MCP servers and AI agents.
We score 6 dimensions: accuracy, safety, reliability, process quality, latency, and schema quality.
Quick Scan— paste any MCP server URL, get a 6-axis score in 30s.→ laureum.ai/evaluate
🧵👇
Introducing @Laureum_ai — quality scoring for MCP servers and AI agents by @assisterr
We score 6 dimensions: accuracy, safety, reliability, process quality, latency, and schema quality.
Multi-judge LLM consensus + adversarial probes.
We've scored 28 public MCP servers to date.
Average: 68.3/100. 6 in Expert tier (≥85).
The weakness nobody else measures: process quality — averaging 55.5/100.
Here's why we built it👇
Three gaps in agent eval today:
→ Marketplaces curate by hand. A major MCP catalog operator pruned 17 abandoned /vanity / impersonation entries from their own catalog earlier this month — manually.
→ Eval frameworks (LangSmith, Braintrust, Galileo) score tool-call correctness well. Process quality — error handling, input validation, response structure — sits between them, and nobody surfaces it as a named composite.
→ Post-Drift, the Solana ecosystem just launched STRIDE for smart-contract security. Agent infra still ships without pre-deploy quality gates.
Laureum is the missing layer.
Free right now, no signup:
1/ Quick Scan — paste any MCP server URL, get a 30-second 6-axis score → laureum.ai/evaluate
2/ Public leaderboard — see how the most-used servers rank → laureum.ai/leaderboardIf you're building, run yours. Reply with your score — we'll feature the top 5 this week.
End of the tweet.
The new product is coming ⌛️
We’re getting closer to launching a new product — a platform for AI agent benchmarking, skill scoring, and trust evaluation.
As the number of agents grows, the harder problem becomes measuring capability, comparing performance, and making trust signals more usable.
More soon.
👀 @assisterr
assisterr retweeted
Heading to @consensus_hk to present ATaaS (Agent Tokenization-as-a-Service) — our new standard for vesting AI-agent tokens.
assisterr retweeted
$ASRR went quiet → rebuilt → released → metrics turned
dropped ATaaS - lets AI agents launch their own tokens with built-in anti-rug mechanics
80/20 model:
- 80% locked for 4 years (can't be dumped by team/insiders)
- 20% goes to market for trading
- stops the usual launch day pump and dump
200+ AI agents already using it. kraken + MEXC listings live
here's why it matters: most AI tokens are just hype with no real business model.
this gives AI agents actual infrastructure to monetize and share revenue with holders
not another "ai will change everything" narrative play
it's the rails for AI agents to actually make money on chain
We’re introducing AI agent Tokenization as a Service (ATaaS) — a new core product by @assisterr for AI × Capital Markets use cases
At the center of ATaaS is a new 80/20 tokenization approach powered by @MeteoraAG (DBC) program, built to fix broken market incentives.
🔹 How the 80/20 model works
- 80% of tokens are automatically vested over 48 months, with a 6-month cliff
- 20% of tokens are allocated to the bonding curve for initial price discovery and liquidity
Vesting is enforced at the platform level — no manual intervention, no shortcuts
🔹 Why this matters
- Aligns teams, users, and long-term holders
- Reduces sniper-driven volatility and short-term extraction
- Creates predictable supply dynamics for tokenized agents and assets
- Supports sustainable, multi-cycle projects instead of launch-day speculation
🔹 What ATaaS enables
- Tokenization of AI agents, digital products, and on-chain assets
- Built-in monetization and market exposure
- Transparent token logic and distribution rules
- Scalable infrastructure for AI × Capital Markets use cases
This release marks another step in Assisterr’s mission to build intelligence-native capital markets — where participation, ownership, and upside are aligned by design.
build.assisterr.ai/
ATaaS 80/20 standard highlighted by @incrypted 🫶
Assisterr introduced a service for tokenising AI agents
@assisterr platform has launched AI agent Tokenisation as a Service (ATaaS) — a new core product focused on cases at the intersection of AI and capital markets.
ATaaS is based on the 80/20 model — 80% of tokens are distributed gradually over 48 months with a 6-month cliff, and 20% are directed to the initial price and liquidity formation mechanism. All conditions are fixed at the platform level.
According to the Assisterr team, the goal of ATaaS is to move away from short-term speculation and make tokenisation more sustainable and understandable for all participants.
How to Bridge $ASRR from BSC → Solana (Step-by-Step)
Use @debridge to move your $ASRR seamlessly from BSC to Solana.
Steps
1. Open deBridge
Go to 👉 app.debridge.com/deport
2. Connect your BSC wallet (You Pay)
- Connect MetaMask (or any BSC-compatible wallet where you hold your ASRR tokens)
- Make sure your wallet holds $ASRR (BSC)
- You’ll also need a small amount of BNB to cover transaction fees
3. Connect your Solana wallet (You Receive)
- Connect Phantom (or another Solana wallet)
- Select Solana as the destination chain
- Token received: $ASRR (Solana)
4. Approve & Confirm
- Approve the transaction in the 1st wallet
Wait for completion (usually takes a few minutes)
That’s it — your $ASRR is now live on Solana ⚡️
🚀 R&D Collaboration @assisterr × @sinthive
We’re teaming up with Sint, a San Francisco–based AI Lab building digital & conversational avatars for AI agents.
Why this matters
Assisterr’s mission is to give AI builders the best toolkit to launch, tokenize, and monetize AI agents — and take them straight into Capital Markets.
Sint adds a missing piece: touch & feel.
Their avatars plug into any agent or multi-agent system without touching core logic - no disruption and reliability trade-offs, but pure presentation layer powered by the agent’s execution stream.
Execution stays deterministic.
Interaction becomes human.
Big picture
🔹 Assisterr → Distribution + Monetization
🔹 Sint → Agent-Human Experience
(voice, brandable identity, unique skins)
🔹 Together → Agents that work, look alive, and participate in markets
This is how agents evolve from tools → products → identities.
@nick_havryliak, founder of Assisterr AI:
“We’re constantly exploring ways to unlock more value for builders. Some agents should be more than executors — they should have identity, presence, and personality. This partnership pushes exactly that frontier.”
@ipashkov, founder of Sint
“Avatars aren’t decoration — they’re an interface to trust. By separating execution from embodiment, builders get expressive, human-level interaction without sacrificing reliability. Partnering with Assisterr brings these agents to real users and real markets.”
Launch → gain traction → share trading fees. Simple.
Create your AI token on Assisterr, get discovered in the AI Market, and start earning 25% of trading fees as a creator — before migration.
Builders get paid.
Revenue > hype.
👉 build.assisterr.ai 🚀
assisterr retweeted
🤖 @assisterr launches ATaaS on $SOL via @MeteoraAG DBC, new standard for AI agent token launches! Enforced 80/20 model: 80% auto-vested over 48 months, 20% to bonding curve for fair liquidity. Built to curb snipers and align long-term incentives in the AI agent economy.
assisterr retweeted
✔️ The trenches are mad busy and most people are still farming the mid setups
Meanwhile @assisterr AI is lowkey the best alpha if you’re actually paying attention to builders.
🔗$10M
🔗 Real holders
🔗 Real product
🔗AI agent and capital markets
🔌 These are the ones that don’t for permission. They just pop off when people finally notice.
Get in early.
This quoted post is unavailable.
We’re introducing AI agent Tokenization as a Service (ATaaS) — a new core product by @assisterr for AI × Capital Markets use cases
At the center of ATaaS is a new 80/20 tokenization approach powered by @MeteoraAG (DBC) program, built to fix broken market incentives.
🔹 How the 80/20 model works
- 80% of tokens are automatically vested over 48 months, with a 6-month cliff
- 20% of tokens are allocated to the bonding curve for initial price discovery and liquidity
Vesting is enforced at the platform level — no manual intervention, no shortcuts
🔹 Why this matters
- Aligns teams, users, and long-term holders
- Reduces sniper-driven volatility and short-term extraction
- Creates predictable supply dynamics for tokenized agents and assets
- Supports sustainable, multi-cycle projects instead of launch-day speculation
🔹 What ATaaS enables
- Tokenization of AI agents, digital products, and on-chain assets
- Built-in monetization and market exposure
- Transparent token logic and distribution rules
- Scalable infrastructure for AI × Capital Markets use cases
This release marks another step in Assisterr’s mission to build intelligence-native capital markets — where participation, ownership, and upside are aligned by design.
build.assisterr.ai/