Everyone says they are looking for the right property. But the first thing that makes someone stop is usually much simpler. A photo. A price point. A location. A feeling they cannot ignore. What catches your attention first? Explore what’s next → listiapp.io

Channel
Listi Official Channel
@listi_app
On this record: Growth · Engagement · Posts · Cite this entry
5,851subscribers
-77 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002446967491 |
|---|---|
| Type | Channel |
| Username | @listi_app |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/listi_app |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 20:38 | 5,851 | -9 |
| 27 Aug 2026, 03:07 | 5,860 | -12 |
| 24 Aug 2026, 10:37 | 5,872 | -18 |
| 20 Aug 2026, 11:58 | 5,890 | -12 |
| 17 Aug 2026, 20:04 | 5,902 | -7 |
| 15 Aug 2026, 01:45 | 5,909 | -9 |
| 11 Aug 2026, 11:54 | 5,918 | -8 |
| 8 Aug 2026, 10:15 | 5,926 | -2 |
| 7 Aug 2026, 18:31 | 5,928 | no change |
| 7 Aug 2026, 18:26 | 5,928 | first reading |
Engagement
22 posts held, back to 13 July 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 7 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.283%
- avg views ÷ 5,851 subscribers
- Avg views / post
- 16.6
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- of 22 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 22 (13 July 2026 – 11 August 2026) |
| Views total | 116 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:43 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.
Recent posts
Most people see a lot of properties before one actually sticks. It is not always the biggest one. Or the newest one. Or the most expensive one. Sometimes it is the one with the view. The one with the light. The one where the layout finally makes sense. That is the part worth paying attention to. Explore what’s next → listiapp.io
The properties people remember usually have one thing in common. They are easy to understand. The strongest detail is clear. The value is clear. The reason to look again is clear. That kind of clarity turns attention into real interest. Explore what’s next → listiapp.io
A property can have a lot going for it. But if the story feels crowded, the strongest details can get lost. Clear presentation helps people understand what matters. The value. The feeling. The reason to look closer. Explore what’s next → listiapp.io
Sometimes it is not the entire property that makes someone pause. It is one detail. The light coming through the windows. The way the kitchen opens into the living space. The view from the patio. The feeling of the entryway. Small details can shape how people remember the whole property. Explore what’s next → listiapp.io
The best property presentation makes the value easy to find. Not hidden in too many details. Not buried behind too many photos. Not lost in a crowded message. Make the strongest reason to care clear from the start. Explore what’s next → listiapp.io
People can scroll through dozens of properties. But only a few make them pause. A strong first impression helps. A clear detail helps. A feeling they can remember helps. The right property does more than appear. It stays with people long enough to be considered. Explore what’s next → listiapp.io
A strong property story does not overwhelm. It guides. It shows what matters. It makes the value easier to see. It helps the right people understand why it fits. That kind of clarity creates confidence. Explore what’s next → listiapp.io
A property does not need to show everything at once. It needs to create a reason to keep looking. The right detail can do that. The right angle can do that. The right sequence can do that. Focus makes the story easier to follow. Explore what’s next → listiapp.io
The right fit can come from different things. Some people notice location first. Some care about how the space flows. Some are drawn to natural light. Some picture the lifestyle. What makes a property feel right to you? Explore what’s next → listiapp.io
Every property has a moment that can anchor the story. The first view from the entry. The kitchen where people gather. The window that brings in the light. The outdoor space that changes the feel. When that moment is clear, the property becomes easier to understand. Explore what’s next → listiapp.io
People may see a lot of properties. But they do not remember all of them. They remember the ones with a clear feeling. A clear detail. A clear reason to look again. The strongest property stories make that connection easier. Explore what’s next → listiapp.io
Showing the 12 most recent of 22 posts we hold for @listi_app. 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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Listi Official Channel” (@listi_app), 5,851 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/listi_app.
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.