Sumanth ✓

@Sumanth_077 · AI Engineering → · joined 28 Jul 2021

Simplifying LLMs, Machine Learning & AI Agents for you! • Building https://t.co/9bR9Ad0j4M • Shipping Open Source AI Apps

76 790Followers

874Following

11 390Posts total

271.6KViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views28 146this account2 751median for 10K–100K

Reach, %36.65%this account9.00%median for 10K–100K

Engagement, %1.33%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	28 146	2 751	10.2×
Reach (views ÷ followers)	36.65%	9.00%	4.07×
Engagement rate	1.33%	1.65%	0.81×

Others in this range → Compare with another account → How these benchmarks are built →

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

41.7K6 Jun

82.8K13 Jul

63K25 Aug

8.9K28 Aug

13.2K30 Aug

18.7K1 Sep

37.6K

5.6K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.28%6 Jun

0.23%13 Jul

0.51%25 Aug

1.66%28 Aug

1.69%30 Aug

0.23%1 Sep

1.40%

1.26%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes44.6%1 980 in total

Reposts8.5%377 in total

Replies2.2%99 in total

Quotes0.5%23 in total

Bookmarks44.1%1 956 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.

Latest posts

Turn agent conversations into persistent workspaces! Cohub is an open-source agent OS that gives agents a shared work-site with files, sessions, tools, scheduled tasks, and reusable context. Most agent systems are still centered around conversations. An agent does useful work, 5.6K views · 49 likes · 16 reposts · 6 replies 01 Sep 2026 A research agent is only as good as the search layer behind it! I built a Deep Research Agent using LangChain Deep Agents with a search-first architecture designed around grounded, source-backed research. The agent plans the research in real time, breaks the work into smaller h 37.6K views · 430 likes · 79 reposts · 15 replies 01 Sep 2026 https://t.co/Qz6DyBHbSO 18.7K views · 25 likes · 6 reposts · 3 replies 01 Sep 2026 Clone a human voice in real time without tokenization! VoxCPM is an open-source text-to-speech system that models speech in continuous space instead of discrete tokens. Most TTS systems convert speech to discrete tokens before generation. This quantization creates a fundamental 13.2K views · 186 likes · 27 reposts · 9 replies 30 Aug 2026 Your AI agent doesn’t need a better model. It needs a better harness! JIT-Agent is a compact meta-agent that writes your agent harness on the fly. Most agent systems use a fixed scaffold for every task. The same planner, the same memory setup, the same tool orchestration, and h 8.9K views · 99 likes · 28 reposts · 19 replies 28 Aug 2026 https://t.co/OJrhmzcTL1 63K views · 262 likes · 45 reposts · 11 replies 25 Aug 2026 https://t.co/lGawLq9VVA 82.8K views · 162 likes · 25 reposts · 4 replies 13 Jul 2026 Hands on AI Engineering! I open-sourced a collection of 50+ hands-on AI engineering tutorials. It features step-by-step projects and tutorials on: • AI Agents and Multi-agents • RAG (Agentic, Vision, and Local) • MCP AI Agents • OCR Apps • Voice AI Agents • & so much https 41.7K views · 767 likes · 151 reposts · 32 replies 06 Jun 2026