Channel
@parametric_grass
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
1,566subscribers
+6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001405015624 |
|---|---|
| Type | Channel |
| Username | @parametric_grass |
| Created | Between 1 November 2018 and 31 October 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 | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/parametric_grass |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:26 | 1,566 | +5 |
| 10 Aug 2026, 23:45 | 1,561 | +1 |
| 7 Aug 2026, 23:00 | 1,560 | no change |
| 7 Aug 2026, 22:53 | 1,560 | first reading |
11 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.
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 8 of 9 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 | 11 (14 July 2026 – 7 August 2026) |
| Views total | 2,392 |
| Reactions total | 65 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:00 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.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
85 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 32.9% | |
| 🔥 | 27 | 31.8% | |
| ❤🔥 | 21 | 24.7% | |
| 👏 | 6 | 7.06% | |
| custom 5336890632176695831 | 2 | 2.35% | |
| 💯 | 1 | 1.18% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 11 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 14 July 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.
Parametric Box Team Tools ◽️ Rhino.Inside In interior projects, some elements are easier to build in Rhino. The interior then needs to move into the working environment for documentation. We use Rhino.Inside for this. It connects Rhino and Revit. The geometry stays controlled, and the data can move further. Interior elements no longer need to be rebuilt by hand at every change. #PBworkflow
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How we model complex facades 🔳 You cannot edit every element by hand when working with facades. The base geometry is built in Rhino. The logic is set up in Grasshopper: the step, the angle, the height, the rotation, and the fabrication limits. After that, the facade can be changed without rebuilding the whole model. One edit in the system updates the whole geometry. Next, the data can move into Revit, Tekla, or…
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Nature already designed the most beautiful forms in architecture. Nature keeps repeating the same principles: rhythm, branching, spirals, fractals and proportion. Mathematics helps us see this logic, and architecture turns it into space. A curve can follow the distribution of load, a facade can develop through an algorithm, and a complex form can emerge from a few exact rules. A rock’s relief, the structure of a f…
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We recently visited an airport built from our working documentation. The facade had hundreds of unique elements, and the fabricators first suggested simplifying the form. Over three months we delivered five iterations of documentation. With Rhino and our own scripts, we kept the original concept and reduced the geometry to 15–20 production types. The finished facade now matches the digital model to the millimetre…
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What workflow should we show next? ↓
The shares total 136%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
While working with StreamDiffusion and TouchDesigner, we used the documentation from the Derivative community. This tutorial covers the full setup for StreamDiffusion TD: CUDA compatibility, installing Python, CUDA, Visual Studio, NDI and Git, updating NVIDIA drivers and verifying PATH variables. A useful checklist that saves hours on setup and debugging. Resource: https://derivative.ca/community-post/tutorial/set…
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Parametric Box Team Resources ◽️ How do you round a number down to the nearest allowed value in Grasshopper? For example, if the input is 9.55 and the available values are 9.4 and 9.6, the nearest value is 9.6, while the lower value is 9.4. This McNeel thread shows solutions for fixed steps and custom value lists ↓ https://discourse.mcneel.com/t/round-to-nearest-but-always-to-smaller-value/153382 #PBworkflow
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Parametric Box Team Resources ◽️ Sharing one of the fundamental references in architecture: Neufert. Often called the architectural bible, it is a core handbook on ergonomics and how people use space. While developing a hotel concept, we used Neufert to check areas, functional zones and layout organisation before moving to the 3D model in Rhino. Neufert: Architects’ Data https://www.wiley.com/en-gb/Architects%27%…
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Parametric Box Resources ◽️ How we built an interactive AI installation: touchscreen + TouchDesigner + StreamDiffusion Drawings from a touchscreen are streamed into TouchDesigner and sent to StreamDiffusion for real-time AI processing. The full workflow: touchscreen input → TouchDesigner → AI processing → visual output. This setup lets us build prototypes faster and adapt them to different spaces and projects. S…
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Parametric Box Resources ◽️ Complex patterns on curved geometry This is our 2020 Grasshopper definition (from All U) uses Starfish to create complex patterns on curved surfaces. It adds folds, bends and rotations to a mesh while preserving connections and resolving overlaps and complex joints. The definition also uses Vipers. Both files will be shared in the comments ↓ Starfish: https://www.food4rhino.com/en/app…
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Nebula the technical layer of the project Before, projects went from model to visualisation. Now the system has changed: first the visual → then the model. We began with an AI sketch. From it, we built a render, and then a 3D model with open-source tools. The model was moved into Revit, where we used Rhino.Inside to build algorithmic layouts. The final result was refined based on the concept we chose at the AI s…
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Showing the 11 most recent of 11 posts we hold for @parametric_grass. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
What workflow should we show next? ↓
The shares total 136%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 11 most recent posts we hold, published 14 July 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 857,687 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
“Parametric Box | Parametric Architecture” (@parametric_grass), 1,566 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/parametric_grass.
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.