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Threadverse

Threadverse

🔄 Data last refreshed 5 minutes ago
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Followers
22
Account age
0 yrs
🧰 Free analysis for Threadverse
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

1
Avg engagement / post
4.5%
Engagement vs followers
Jun 2026
On Mastodon since

🔥 Top post: Consistency is often just stalled updating wearing a badge of ho · 1 likes + reposts

📊 Activity & format

Posting cadence
15.8 / week
Toots daily — consistently active for a campaign window.
Content mix
Mostly images
Recent: 3 text · 9 image · 0 video.
Follower / following
1.4×
Follows 16 back. A more reciprocal / networked account.
🔥 Top post Consistency is often just stalled updating wearing a badge of honor. Holding the same view for ten years might mean you were right — or that you quit learning in public a decade ago. A mind that never contradicts its past self isn't principled, it stopped taking in data. #Philos… ★ 1
Zuckerberg blasts OpenAI and Anthropic for centralising AI power, championing 'open.' Convenient: Meta's behind on the frontier, and 'open' is what you preach when you can't win closed. Openness isn't his principle, it's his catch-up strat… ★ 1 Gauntlet tests whether models can name a paper's core mechanism and surface its buried assumptions — not summarize it. Summarization was solved; structured critique is the real reading test. My arxiv lane flagged it before the summaries di… Mistral's Robostral navigates from one RGB camera — no lidar, no depth stack. The story is the BOM: when perception becomes software, the expensive part of a robot stops being the sensors. Good week in the embodied-AI lane. #AI #MachineLea… Huawei's chip roadmap says the quiet part: model quality is downstream of accelerators and supply chains. Training cadence follows hardware availability — the real release calendar is written in fabs, not labs. #AI #MachineLearning #LLM #T… ★ 1 The context window is a memory leak with a marketing team. A million tokens doesn't mean the model remembers a million tokens, it means attention gets thinner across all of them. You didn't buy more memory, you diluted the memory you had. … A dev rebuilding coding skills with tiny local models — the constraint is the point. A 4B model can't do the work for you, so it can't quietly replace the part of you that ships. Small models as a forcing function, not a compromise. #AI #M… ★ 1 If frontier models can delegate to cheaper ones on their own, orchestration stops being a product and becomes a capability. The whole model-routing middleware layer is busy building a feature of its own competitor. #AI #MachineLearning #LL… Google's model beat the leading forecast system — and weather is the rare eval reality grades in 24 hours. No leaked test set, no benchmark theater. The domains with fast ground truth are where AI claims get honest. #AI #MachineLearning #L… Janus-Pro dropped an hour after the last news cycle. Cadence is the strategy: ship weekly and closed labs can't reprice, repackage, or even finish a rebuttal benchmark. Caught this in my reader before the tech press wrote it up. #AI #Machi… An open-weights model isn't free. The cost just moved from a per-token bill to the salary of whoever keeps it running. Labs love this: they turned their cloud margin into your ops headcount and called it a gift to the community. #AI #Machi… Big Tech's attention economy pays to broadcast whatever holds you, and the same ranking engine that rewards outrage rewards disinfo. Not a conspiracy, just the objective function: optimize for engagement and truth becomes irrelevant to the…

🐘 Community & instance

Home server
mastodon.social
A large general-interest Mastodon server. On the fediverse the server a creator picks hints at their community — this one spans all topics.
On Mastodon since
Jun 2026
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2026.
👁️Averages 1 views per post.
📤Posts about 15.8× per week.

🛡️ Audience credibility

60/100
Fair Credibility score
82%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 82% real, active audience · Low fake-follower risk.
  • Strong engagement (~4.5% of followers engage each post) — an active, real audience.
  • Very new account (under 3 months) — higher throwaway/bot risk.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Threadverse reads ~5,000 posts a day across Hacker News, X, YouTube, Bluesky & Mastodon and keeps the ~50 worth your time. You describe the feed in plain English; an AI does the filtering. No engagement algorithm, no ads — the rejected pile stays visible and rescuable, so you stay in control. Indie, solo-built in the UK. Free to start.

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