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ℹ️ This listing was auto-generated from Mastodon's public data. Peng Qian hasn't claimed it, and it doesn't imply any partnership with or endorsement of SocialDB. Is this you? Claim it · Request removal (free).
Peng Qian

Peng Qian

🔄 Data last refreshed 4 hours ago
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Followers
16
Account age
3 yrs
🧰 Free analysis for Peng Qian
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Post engagement

1
Avg engagement / post
6.3%
Engagement vs followers
May 2023
On Mastodon since

🔥 Top post: Even though DeepSeek-V4 doesn't have the ability to read images, · 1 likes + reposts

📊 Activity & format

Posting cadence
0.39 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.7×
Follows 22 back. A more reciprocal / networked account.
🔥 Top post Even though DeepSeek-V4 doesn't have the ability to read images, I built a small OpenCode plugin that successfully gave DeepSeek indirect image reading capabilities. #ai #coding #vibecoding #llm https://www.dataleadsfuture.com/deepseek-v4-cant-read-images-i-made-it-read/ ★ 1
The concept of Loop Engineering has been getting a lot of buzz lately, so I decided to give it a shot in OpenCode. The results were surprisingly good: #ai #llm #vibecoding #coding https://www.dataleadsfuture.com/no-plugins-needed-i-built-… The essence of prompt engineering isn't about feeding the model more information. It's about helping both the model and humans put their limited attention in the right place. #ai #promptengineering #llm #dataScience https://www.datalead… Does your AI always write garbage code? That's because your spec files have never been properly reviewed. By adding a reflection mechanism to the proposal stage of OpenSpec, I got DeepSeek-v4-pro to write code on par with Opus 4.6: https:… Ride the wave of AI coding, don't get swept away by it. In my latest article, I dive into the practical details of building your own personal AI coding setup using OpenCode + Oh-My-OpenCode-Slim + OpenSpec. It might just help you get a be… ★ 1 The hardest part of enterprise AI agents isn’t the LLM. It’s wiring into real workflows. I built a setup where: • Agent Skills load in real time from a database • Scripts run safely in containers • A “skills agent” acts as a tool to keep t… ★ 1 Most “agent memory” setups just save everything and hope semantic search will fix it. I share a pattern that works better: ✅ Use an LLM to decide what is worth remembering ✅ Store memories in RedisVL ✅ Run memory extraction in parallel wi… ★ 1 Tried RedisVL as a memory layer for AI agents: ✅ Short-term memory with MessageHistory: works great 😒 Long-term semantic memory with SemanticMessageHistory: not so much If you are thinking about RedisVL for agent memory, this will save you… AI agents can be smart — but without compliance guardrails, they can be risky. I used Microsoft Agent Framework middleware + AG‑UI to block unsafe prompts in a live chatbot. More on the setup + real example 👇 https://www.dataleadsfuture.co… 📄 Turning PDFs into usable data isn’t magic — it’s DeepSeek-OCR + docling. I tested this combo with real financial reports, added Agentic RAG, and pitted DeepSeek-OCR against PaddleOCR. The results? Eye-opening. 👀 Full walkthrough + accura… 🚨 Built an AI agent that wowed in demos… …then crashed hard with real users. From perfect prototype to industrial trash — here’s what went wrong, and how a multi-agent + Microsoft Agent Framework might fix it. Read the lessons 👉 https://ww… Switching AI frameworks shouldn’t break your LLM’s structured output. I hacked Microsoft Agent Framework so Qwen and DeepSeek can follow Pydantic BaseModel rules — clean JSON every time. See how in my step‑by‑step guide 👉 https://www.datal…

🐘 Community & instance

Home server
me.dm
A large general-interest Mastodon server. On the fediverse the server a creator picks hints at their community — this one spans all topics.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
May 2023
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2023 — 3 years ago.
👁️Averages 1 views per post.
📤Posts about 0.4× per week.

🕵️ Fake follower check

Estimated
83/100
Excellent Credibility score
99%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 99% real, active audience · Low fake-follower risk.
  • Strong engagement (~6.3% of followers engage each post) — an active, real audience.
  • Verified account.
  • Established account (3+ years old).

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

About

Was with Alibaba as a senior data scientist , now the chief architect in the big data field at a major brokerage firm in China. linkedin: shorturl.at/gtBW2

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