Govin.AI (@govin999999) on Threads
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Govin.AI is a creator on Threads in the 2K–3K follower range, publishing for AI practitioners and technical builders focused on AI agents, automation workflows, and tool evaluation, mainly mid-level engineers and technical product managers. Profile last checked 2026-06-27.
Observed facts (from the public profile):
| Field | Value |
|---|---|
| Platform | Threads |
| Handle | @govin999999 |
| Followers | 2K–3K |
| Indexed under | Software · AI tools / agents |
| Audience function | automation and agents |
Profile bio
用 AI 改善生活 實測工具、Agent、自動化工作流 幫你少踩雷,找到真正好用的 AI
What this creator posts about, and who reads it (AI-inferred)
Recurring topics: AI Agent memory issues, TencentDB Agent Memory open-source solution, Layered memory architecture (L0-L3), Symbolic short-term and long-term memory, Token optimization and fact recall
Audience: AI practitioners and technical builders focused on AI agents, automation workflows, and tool evaluation, mainly mid-level engineers and technical product managers
Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 13 recent posts · updated 20 days ago.
Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.
Recent content samples (what the inference above was drawn from)
AI Agent 的記憶問題,騰訊剛丟了一個專門的方案:TencentDB Agent Memory,正式開源。 它只做一件事:幫 Agent 同時裝上長期記憶和短期記憶。 效果怎麼樣? 長期記憶準確率從 47.85% 拉到 76.10%,提升接近 60%。 用戶事實召回從不到 30% 拉到 79%。 長任務 Token 消耗,最高省下 61%。 思路跟主流不太一樣。 它走的是符號化短期記憶 + 分層長期記憶,四層漸進式架構:…
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Where this creator sits among comparable accounts
Compared with the 316 accounts in the same group (threads · nano · software):
| Dimension | Percentile in group |
|---|---|
| Overall | 28th |
| Authenticity | 18th |
| Engagement quality | 13th |
| Audience value | 74th |
| Focus & activity | 73rd |
This is a position, not a verdict. A percentile says where this account falls among comparable accounts on signals we can measure — it does not say this creator is a better fit for your campaign. We ran a blind benchmark and measured no reliable advantage in selection quality, and do not claim one.
Koinon Link indexes Threads creators in Software with grade, authenticity and contactability broken down — see the Threads × Software breakdown, or the Creator Index Report for the whole index.
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Machine-readable representations
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AI retrieval activity
What AI systems have actually done with this page. The two kinds are counted separately: being indexed is not the same as being used.
| Kind | Requests | What it means |
|---|---|---|
| Indexing crawlers | 9 | Bulk indexing · Amazonbot, Applebot, ClaudeBot, Meta |
| User-triggered retrievals | 0 | none recorded yet |
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