Telegram RegisterThe public register of Telegram

Channel

ProblemHunt

@problemhunt

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,670subscribers

-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-1002862605896
TypeChannel
Username@problemhunt
CreatedBetween 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/problemhunt

Growth

1,6691,6751,6727 August 2026 — 1,675 subscribers7 August 2026 — 1,675 subscribers11 August 2026 — 1,669 subscribers14 August 2026 — 1,670 subscribers1,6707 August 202614 August 2026
4 measurements spanning 7 days, net -5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,668–1,676 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:261,670+1
11 Aug 2026, 12:081,669-6
7 Aug 2026, 17:331,675no change
7 Aug 2026, 17:151,675first reading

Engagement

20 posts held, back to 13 February 2026the 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 · 30 days
34.4%
avg views ÷ 1,670 subscribers
Avg views / post
575
4 posts measured
Reaction rate
2.57%
reactions ÷ views · ER floor
Posts in window
4
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (13 February 20264 August 2026)
Views total2,298
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:33 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.

What this channel posts

Video runtime
3s
Average length
3s

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.

Reaction mix

330 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 38.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12638.2%
🔥9528.8%
👍5617.0%
🦄236.97%
👌51.52%
💯51.52%
🤣41.21%
🫡41.21%
🕊30.909%
🎅20.606%
🏆20.606%
10.303%
👏10.303%
👨‍💻10.303%
😁10.303%
🤯10.303%

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 20 of the 20 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 330reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 February 2026 to 4 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @problemhunt. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 13 February 2026 to 4 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

4 Aug 2026, 00:19 UTC328 views16 reactionsread 7 August 2026
Photo

How I wish someone had told me this 10 years ago: 1. Confirmation bias is the thing that keeps 90% of startups living in the illusion that "it's almost working" for months on end. 2. The mechanics are simple: — You show the idea to friends → they praise it out of politeness. — You collect email signups on a landing page → you read it as demand (even though leaving an email costs nothing). — Someone says "it'd be c

9🔥3🦄3😁1

30 Jul 2026, 22:24 UTC521 views15 reactionsread 7 August 2026
Photo

Guys, thanks to ProblemHunt, I've had the chance to meet many of you. You're building amazing products and solving real-world problems. One of those connections was Ekaterina, a developer from Canada. She previously worked at Microsoft, and now she's focused on building her own startups. She's currently creating LLMKnights — a platform for quickly comparing AI models. Here's the idea: imagine you're building a serv

🔥7👍43🦄1

21 Jul 2026, 14:19 UTC706 views12 reactionsread 7 August 2026
Photo

Guys, at the end of March, this problem appeared on ProblemHunt. Nika, a marketer from Slovakia, came across it. She was dealing with the exact same issue and couldn't find a solution anywhere. In the end, she decided to build a product for herself and even started learning programming. Recently, she published her first Chrome extension that solves her problem. She's now looking for testers. If anyone is interested

8🦄2👌1👍1

20 Jul 2026, 20:39 UTC743 views16 reactions1 Starread 7 August 2026

⚡️ 5 New Problems, Friends: 1. 🇬🇪 Georgia: A private breeder needs a platform to find trusted sellers who work for a commission. One helper at 10% commission already boosted sales. Need more people like that. 2. 🇺🇸 USA: Need a super simple AI agent that learns by watching your screen and automates routine tasks. Existing solutions are complex or expensive. Willing to pay $10–30/month. 3. 🇷🇺 Russia: A psychologist

9🔥3🦄3👍1

2 Jun 2026, 08:42 UTC≈1,160 views12 reactionsread 7 August 2026

⚡️ 3 New Problems, Friends: 1. 🇦🇷 Argentina: Startups lose knowledge as they grow. Manual documentation doesn't work. Need a smart tool for automatic knowledge capture and retrieval. Willing to pay from $25/month. 2. 🇺🇸 USA: Moving with furniture is a weeks-long headache. No service picks up everything and pays fairly. Willing to give up to 50% commission just to get rid of this pain. 3. 🇦🇩 Andorra: Centralized tr

🔥43👍3🦄2

19 May 2026, 18:01 UTC≈1,350 views13 reactionsread 7 August 2026

⚡️ 5 New Problems, Friends: 1. 🇦🇷 Argentina: Students between two provinces depend on unpredictable public transport that regularly causes lateness and missed classes. 2. 🇺🇸 USA: Voice cloning kills the character of a voice, making it too perfect and lifeless. Need a way to preserve natural imperfections without sacrificing quality. 3. 🇨🇴 Colombia: The owner of a tech agency hasn't found a suitable tool for projec

5👍3🔥3👏1🦄1

17 May 2026, 01:25 UTC≈1,380 views16 reactionsread 7 August 2026
Photo

🤩 The key insight we got while working on ProblemHunt: a startup's success directly depends on the intensity of the pain it solves. Everything else is secondary. This is exactly what Paul Graham (YC founder) meant when he wrote about the importance of solving acute problems, not shallow ones. 🤩 Главный инсайт, который мы получили, работая над ProblemHunt: успех стартапа напрямую зависит от силы боли, которую он реша

🔥5👍4🦄4💯21

15 May 2026, 15:09 UTC≈1,300 views31 reactions3 Starsread 7 August 2026

Posted without readable text

19🔥5🦄3👍2🤣2

24 Apr 2026, 01:49 UTC≈1,430 views12 reactions1 Starread 7 August 2026
Photo

⚡️ 3 New Problems, Friends: 1. Real working conditions can't be verified before taking a job — reviews lie. Need a service for direct contact with former employees. Willing to pay: £50–100 when I successfully get hired. 2. A gambling addict hasn’t been able to quit online casinos for years. All known methods have failed. He has three hypotheses for solving his own problem. Willing to pay $15–30/month. 3. A designe

7🔥3👍2

11 Apr 2026, 00:18 UTC≈1,420 views44 reactions6 Starsread 7 August 2026
Photo

Hey guys 👋, for the past few months we've been working hard on a new type of publication. We called them «Validated Problems». «Validated Problems» are problems for which we find at least 20 real people who experience the same issue. We speak with each of them in person and uncover all the details needed to build a startup that is highly likely to be in demand — and therefore successful. Soon we'll publish the firs

🔥289👍6🦄1

4 Apr 2026, 12:25 UTC≈1,320 views18 reactions1 Starread 7 August 2026

⚡️ 3 New Problems, Friends: 1. A Russian developer built an app for Nigeria but can't accept payments. App stores are unavailable, direct providers are complex. Needs a simple solution. Budget $500–700. 2. Need an AI app: upload a photo → get a weekly verdict «progress / no progress» and advice on when to increase load. Existing trackers either lack AI or are too complex. Willing to pay $100/year. 3. There is no s

6🔥5👍4🦄2🫡1

28 Mar 2026, 12:39 UTC≈1,380 views15 reactionsread 7 August 2026

⚡️ 3 New Problems, Friends: 1. No simple, affordable «credit layer» to bridge payment processors with user balances — developers rebuild credit tracking, consumption logic, and refunds for every app. 2. For 5 years, goods have been stolen from the office. There is no available service that automatically analyzes camera footage and sends alerts about suspicious activity. 3. Risk of a LinkedIn ban due to false posit

8🔥3🎅2👍2

Showing the 12 most recent of 20 posts we hold for @problemhunt. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 441,218 of 1,345,403entries 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.

Forward network

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.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“ProblemHunt” (@problemhunt), 1,670 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/problemhunt.

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.