Graas raises US$17M, acquires Trustana to build smarter retail AI agentsFor retailers, artificial intelligence is only as useful as the data it can read. A chatbot that cannot understand product attributes, stock availability, customer intent, or the difference between two near-identical SKUs is unlikely to move the needle on sales. That is the gap Singapore-based Graas is trying to close with its latest fundraise an…
Channel
Chatbot Insider
@Chatbot_Insider
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002331404063 |
|---|---|
| Type | Channel |
| Username | @Chatbot_Insider |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Chatbot_Insider |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 21:51 | 2 | no change |
| 7 Aug 2026, 20:35 | 2 | first reading |
Engagement
20 posts held, back to 4 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 161
- Links
- 169
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
AI Agents in Business: What They Are and Why Every Company Needs a StrategyA chatbot answers a question. An AI agent completes a task.The post AI Agents in Business: What They Are and Why Every Company Needs a Strategy appeared first on Entrepreneurship Life.www.entrepreneurshiplife.com @Entrepreneur_Insider (Telegram)
Asana's AI agents share memory across your company — but not your secretsEnterprise teams building AI agents keep hitting the same wall: a chatbot that can answer a prompt but can't remember what the last five people asked it, and can't tell you whether last month's version actually worked.In a fireside chat with VentureBeat's Sam Witteveen at VB Transform 2026, Asana's chief product officer, Arnab Bose, unpacked how…
The rise of chatbot obstruction, retail’s newest abandonment reasonAt the beginning of the year, chatbot obstruction already accounted for 3.4 per cent of all abandonment reasons before checkout.The post The rise of chatbot obstruction, retail’s newest abandonment reason appeared first on Internet Retailing.internetretailing.com.au @eCommerce_Insiders (Telegram)
How to get beyond the chatbot and boost your AI productivityMalaysian businesses have taken up AI at a remarkable speed, but the truth is not necessarily as impressive as it could be. According to data, around 2.4 million businesses, or 27 per cent of the total, now use AI in some form. There is roughly one new adopter every minute. That seems like a success […]The post How to get beyond the chatbot and boost your AI…
Uh-oh: Some Claude shared conversations and Artifacts appear to be indexed and publicly accessible on Google SearchOver the weekend, Reddit user -void1 posted an alarming discovery on the r/ClaudeAI subreddit: some conversations that users of Anthropic's Claude AI chatbot had made "shareable" via a link were being indexed by Google Search, and could be clicked on and accessed by seemingly anyone.The conversation took…
How to Use AI Agents in 2026: A Complete Beginner-Friendly GuideArtificial intelligence has changed how people search, write, analyze data, create images, and build software. The next major shift is not only about receiving better answers from a chatbot. It is about allowing AI to complete a sequence of tasks on the user’s behalf. This trend is known as agentic AI or AI agents. A…The post How to Use AI Agents in 2026…
AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineeringYou spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed the model, and nobody touched the prompts. The world moved, pricing changed, a policy updated, a product spec shipp…
At VB Transform 2026, Zillow's engineering chief said AI ROI numbers only hold up if you measure before you buildZillow, the real estate technology company, doesn't get one conversation with its customers. They move from a phone screen to a loan officer to a real estate agent, sometimes over months or years, and expect the context to follow them. A single chatbot could never carry that thread.At VB Transform 2026, Zi…
Beyond the chatbot: How Gen Z pioneers are leading ASEAN’s new AI revolutionIn the rapidly accelerating digital landscape of the Association of Southeast Asian Nations (ASEAN) region, a seismic shift has occurred that is fundamentally altering the trajectory of the internet economy. According to “The Gemini Report Southeast Asia 2026” published by Google, the region has emerged as a definitive global frontrunner in t…
When Does Your Business Need RAG Consulting Services?A support engineer asks a chatbot about a refund policy that changed last week. The bot answers confidently, citing a version that no longer applies. That’s the gap RAG closes: it pulls live data at query time, instead of relying only on what it learned during training. RAG delivers real value, but the build itself […]The post When Does Your Business Need RAG Consu…
RAG vs Fine-Tuning: Choosing the Right Approach for Business ApplicationsA support team needs to answer questions about a pricing change that went live this morning. A compliance team needs every chatbot response to use the same approved language, with no exceptions. Both are AI problems, but they call for different fixes. Retrieval-Augmented Generation, or RAG, connects a language model to external knowledge sources…
Showing the 12 most recent of 20 posts we hold for @Chatbot_Insider. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Chatbot Insider” (@Chatbot_Insider), 2 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Chatbot_Insider.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.