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assisterr

@assisterr · joined 30 Nov 2022

Specialized AI models & agents. R&D + GTM partner for AI-native teams.

314 888Followers
54Following
2 340Posts total
186.2KViews on collected posts

Ultimi post

Campaign Update 🎯 90% of the pool is distributed 🎁 Only 50 spots left. If you registered and submitted your wallet: 1/ Log in at https://t.co/KFIPRPuFRS (same email you used at registration) 2/ Approve the pending transfer of 5,000 HECTO What's next: Collect more HECTO & CC 8.6K views · 117 likes · 28 reposts · 41 replies Open on X →
Assisterr x Hecto Finance: Prediction Markets AI R&D Campaign We’re exploring how AI agents can support prediction markets, perps-style research, and private market intelligence. More tech details will be provided soon. To celebrate the start of this R&D direction, we’re https:
17.5K views · 335 likes · 95 reposts · 45 replies Open on X →
Building AI agents or MCP servers? - score it with @Laureum_ai and get your embeddable trust badge ✅ 2.5K views · 13 likes · 1 reposts · 1 replies Open on X →
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.→ https://t.co/i8CdmUtqrQ 🧵👇 https://t
3.8K views · 15 likes · 0 reposts · 14 replies Open on X →
@assisterr @Laureum_ai Game-changer! MCP transparency at last, process scores 55.5 explain the flakiness. Leaderboard 🔥 @assisterr 164 views · 3 likes · 0 reposts · 0 replies Open on X →
@assisterr @Laureum_ai Great news 146 views · 2 likes · 0 reposts · 0 replies Open on X →
@assisterr 🫡🫡🫡 320 views · 3 likes · 0 reposts · 0 replies Open on X →
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. https://t.co/JfEvLxJWSw
54.6K views · 89 likes · 29 reposts · 26 replies Open on X →
@assisterr @MeteoraAG Enforced vesting + smarter token design is a big win. ATaaS feels like real infrastructure, not hype. 🧠 1.9K views · 8 likes · 2 reposts · 0 replies Open on X →
@MeteoraAG We’re looking for AI teams actively building and willing to test new tokenization presets. If that’s you — ping us. Your feedback will shape what ships next. 1.8K views · 10 likes · 1 reposts · 2 replies Open on X →
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 h
94.8K views · 134 likes · 16 reposts · 32 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

94.8K26 Jan
1.8K
1.9K
54.6K21 Apr
320
146
164
3.8K22 Apr
2.5K
17.5K29 Apr
8.6K2 May

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.24%26 Jan
0.71%
0.58%
0.36%21 Apr
0.94%
1.37%
1.83%
0.82%22 Apr
0.60%
2.75%29 Apr
2.18%2 May

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes61.0%729 in total
Reposts14.4%172 in total
Replies13.5%161 in total
Quotes9.4%112 in total
Bookmarks1.8%22 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Account simili