Hello! Today’s insight: When the city itself becomes the care system SOFT INFRASTRUCTURE BUSAN METROPOLITAN CITY: They designated 48 24-hour convenience stores as free rest shelters for delivery riders and outdoor workers during extreme heat. No new buildings, no new budget line — existing retail repurposed for public health. BARCELONA CITY COUNCIL: Barcelona City Council opened a seasonal day shelter with climate…

Channel
TrendWatching's Daily Insights✨
@innovationoftheday
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
1,583subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001151319231 |
|---|---|
| Type | Channel |
| Username | @innovationoftheday |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/innovationoftheday |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:07 | 1,583 | -3 |
| 10 Aug 2026, 23:21 | 1,586 | -1 |
| 8 Aug 2026, 05:47 | 1,587 | -1 |
| 7 Aug 2026, 09:32 | 1,588 | no change |
| 7 Aug 2026, 09:26 | 1,588 | first reading |
Engagement
21 posts held, back to 22 May 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.0%
- avg views ÷ 1,583 subscribers
- Avg views / post
- 174
- 8 posts measured
- Reaction rate
- 0.524%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 21 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 2 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 21 (22 May 2026 – 7 August 2026) |
| Views total | 1,389 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:59 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
16 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 43.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 43.8% | |
| 👍 | 6 | 37.5% | |
| 👎 | 3 | 18.8% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 10 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 22 May 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Hello! Today’s insight: Everyday materials are increasingly engineered to improve biological health outcomes MACHINE MENTORS REFA VITALWEAR: A Fall/Winter 2026–2027 sleepwear collection made from 73% silk blended with a proprietary fibre infused with eight natural minerals, engineered to emit far-infrared rays that promote circulation during sleep. HELLY HANSEN x GOLDWIN: Insect-repellent chemistry, once reserved …
Hello! Today’s insight: Participation is replacing passive consumption across categories MOTIVATIONAL MECHANICS Brands are moving from asking people to consume to inviting them to co-create - turning one-way moments into mechanics people return to. ORB: A Lagos nightlife platform combining a real-time heatmap with in-app ticketing, table bookings, live social posts and virtual drinks gifting - turning a night out …
Hello! Today’s insight: Brands are now building worlds that products can live inside NARRATIVE ECOSYSTEMS Brands are moving from telling stories about a product to building story worlds that can generate products, partnerships and experiences for years to come. NINJA BASKETBALL ANONYMOUS: An NBA-sanctioned fictional universe where 16 ninja clans compete to unify feudal Japan through basketball, built on regional h…
❤1
Hello! Today’s insight: Neighbourhoods are becoming their own intelligence networks PROXIMITY INTELLIGENCE These organizations combine hyperlocal sensing, community participation, and AI into decision-making systems far more useful than one-size-fits-all infrastructure: HUME CENTRE: A landslide warning network in Kerala using 200 volunteer-operated rain gauges, enabling earlier and more precise evacuation decision…
Hello! Today’s insight: AI is increasingly learning to interpret the body's hidden signals SENSORY DECODING For the next generation of diagnostics, bodies will become continuous sources of health insights. DGIST: An AI-powered electronic nose distinguishing thousands of scents, with applications in non-invasive disease diagnosis and food freshness monitoring. FEINSTEIN INSTITUTES: Movement and touch restored in a…
❤1
Hello! Today’s insight: Organizations are replacing role-play with realistic AI rehearsal REHEARSAL MACHINES Organizations have begun using AI to create realistic rehearsal environments where employees can build confidence, receive feedback and improve before dealing with real customers.* 🇫🇷 LEROY MERLIN: Pocket Coach deployed across eight stores, allowing retail associates to rehearse product conversations with a…
Hello! Today’s insight: The biggest opportunity in health & services may be better motivation MOTIVATIONAL ENGINEERING Across health, fitness and even dining, game mechanics are becoming a powerful new motivation layer, turning routines people often abandon into experiences they actually want to repeat. CHINESE WOK: WokVerse, an AR platform activated by QR codes inside restaurants, lets diners play cricket games, …
Hello! Today’s insight: Consumers will stop doing the buying DELEGATED DEMAND AI becoming the customer interface will be one of the enduring business stories of the coming months. VISA: Intelligent Commerce allows AI agents to complete purchases using real payment credentials, with pilots involving more than 30 European banks and merchants. PICK N PAY: AI grocery assistant, Penny, accepts voice commands, handwri…
👍1
✨ SNEAK PEEK: our new AI Signals WhatsApp group We'll soon launch Serious Shift, a new TrendWatching initiative bringing busy people like you up to date on the biggest AI shifts shaping consumers and organizations. From ‘Non-Personhood’ to ‘Autonomous Firms’. Even better: Our free Serious Shift WhatsApp group is already live: get one daily essential AI signal if you sign up today!
👎1
Hello! Today’s insight: Bringing fandom into everyday decisions, relationships and rituals LIVED FANDOM Fans love building their passions into daily life, and a growing number of brands are responding with products designed around fan behavior, rituals and identity. 🇺🇸 Titan Casket brought Teenage Mutant Ninja Turtles collection into funerals. Yes, really. 🇨🇦 FanDuel made dual-sided scarves for fans with split nat…
❤2
Hello! Today’s insight: The circular economy gets instantly gratifying TRASH FOR TREATS Waste is increasingly being turned into discounts, food, products and perks, giving consumers a tangible and instant reason to participate in circular systems. WASTEBAR — The Netherlands 🇳🇱 In the Netherlands, WasteBar lets people exchange cigarette butts and cans for fresh poffertjes (mini pancakes). ECOEXIT — United States 🇺…
👍1
Showing the 12 most recent of 21 posts we hold for @innovationoftheday. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@miastral · 131,679
Telegram ranks this channel #71 of 86 here — alongside 85 others — read 13 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“TrendWatching's Daily Insights✨” (@innovationoftheday), 1,583 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/innovationoftheday.
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.