Headroom - (★ 65.3k at GitHub) compresses tool outputs, logs, files, and RAG chunks before they hit the LLM. Drop-in library, HTTP proxy, or MCP server. Claims ~20% token savings on coding-agent traces and 60-95% on JSON payloads with equivalent downstream answers — useful when your context window is the bottleneck, not the model. #llm #ai #tokens #agents #rag

Channel
Dev Useful Stuff
@dev_useful_stuff
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
2,197subscribers
+38 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001124454878 |
|---|---|
| Type | Channel |
| Username | @dev_useful_stuff |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/dev_useful_stuff |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 11:01 | 2,197 | +11 |
| 5 Sept 2026, 02:17 | 2,186 | +7 |
| 1 Sept 2026, 12:53 | 2,179 | +1 |
| 29 Aug 2026, 16:57 | 2,178 | +4 |
| 26 Aug 2026, 07:32 | 2,174 | +2 |
| 23 Aug 2026, 16:37 | 2,172 | +1 |
| 20 Aug 2026, 01:55 | 2,171 | +9 |
| 12 Aug 2026, 20:03 | 2,162 | +2 |
| 9 Aug 2026, 12:51 | 2,160 | +1 |
| 6 Aug 2026, 06:06 | 2,159 | no change |
| 6 Aug 2026, 02:25 | 2,159 | first reading |
Engagement
21 posts held, back to 5 March 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 pages 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 21 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
67 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 46.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 31 | 46.3% | |
| 🔥 | 20 | 29.9% | |
| ❤ | 13 | 19.4% | |
| 🥰 | 2 | 2.99% | |
| 😁 | 1 | 1.49% |
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 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 70 reactions 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 5 March 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
Gridex - (★ 815 at GitHub) is a native cross-platform database IDE for PostgreSQL, MySQL, SQLite, and Redis. Ships with an MCP server out of the box, and a built-in AI chat that understands your schema — so LLM-driven tools can query your DB and the in-app assistant already knows your tables. #database #sql #mcp #ai #devtools
🔥2
Buzz - (★ 8.7k at GitHub) is a self-hostable workspace where humans and AI agents share the same rooms, built on a Nostr relay. Another one from Block (Jack Dorsey's company). Every message, reaction, workflow step, review approval, and git event is a signed event in one log — same identity model whether the author is a person or a process. Agents are members, not bots: they get their own keys, channel memberships, …
👍3
agterm - (★ 291 at GitHub) is a terminal built for agentic flow — a native macOS wrapper around libghostty tuned for running AI coding agents. From Umputun, a very respected and trusted developer in the Go/tools community. Handles multiple concurrent agent sessions, per-session logs, and quick switching without drowning in tmux panes. #ai #terminal #agents #macos #cli
❤1👍1
GitButler - (★ 21.3k at GitHub) is a Git client built around virtual branches — work on multiple branches simultaneously in the same working directory. Backed by Git, powered by Tauri/Rust/Svelte. Comes with a CLI (but) alongside the desktop app, and recently added AI-assisted commit splitting and branch organization. #git #vcs #cli #devtools #rust
❤2👍2
humanizer - (★ 26k) is a Claude Code / OpenCode skill that strips AI-isms from text. Based on Wikipedia's "Signs of AI writing" guide, it detects 33 patterns — em dashes, "It's not just X, it's Y", significance inflation, sycophantic openers, rule of three, etc. — and rewrites the text in your voice. Example from the README: Before: AI-assisted coding serves as an enduring testament to the transformative potential…
👍5❤1
OpenTUI - (★ 11.9k at GitHub) is a TypeScript library on a native Zig core for building terminal user interfaces. Worth a look at terminal.shop, a real online coffee shop you can browse and order from entirely inside your terminal — a fun experiment built on this framework. Not sponsored. #tui #cli #typescript #zig
👍2❤1
apple/container - (★ 37.4k) is Apple's native Swift tool for running OCI containers as lightweight VMs on Apple silicon, each container in its own VM. Originally unveiled at WWDC25, the project just hit 1.0 at WWDC26 with a headline new feature: container machine — a persistent Linux dev environment that auto-mounts your macOS $HOME at /Users/<you> inside the VM, so you edit on the Mac and build/run on Linux against…
🔥4❤1👍1
Firezone - (★ 8.7k at GitHub) is an enterprise-ready zero-trust access platform built on WireGuard®. Replace your VPN with fine-grained, identity-aware access control. Self-hosted, open source, integrates with any OIDC provider for SSO and MFA. Clients for macOS, Windows, Linux, iOS, Android and ChromeOS. #vpn #wireguard #zerotrust #security #selfhosted
❤3👍1😁1
git-secrets - (★ 13.3k) prevents you from committing passwords and other sensitive information to a git repository. git-secrets scans commits, commit messages, and --no-ff merges to prevent adding secrets into your git repositories. If a commit, commit message, or any commit in a --no-ff merge history matches one of your configured prohibited regular expression patterns, then the commit is rejected. #git #hooks #se…
❤2👍1
Peekaboo - (★ 4k at GitHub) is Mac automation that sees the screen and does the clicks. It's a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models. #automation #agent #screen
PriceGhost - (★ 550) a self-hosted price tracking application that monitors product prices from any website. Get notified when prices drop, hit your target price, or items come back in stock. #monitoring #selfhosted #price
👍4
Showing the 12 most recent of 21 posts we hold for @dev_useful_stuff. 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.
@thedevs · 32,160
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 5 September 2026
@github_repos · 27,188
Telegram ranks this channel #25 of 76 here — alongside 75 others — read 11 September 2026
@fedevelopment · 28,772
Telegram ranks this channel #61 of 88 here — alongside 87 others — read 9 September 2026
@webde · 31,940
Telegram ranks this channel #68 of 84 here — alongside 83 others — read 5 September 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“Dev Useful Stuff” (@dev_useful_stuff), 2,197 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/dev_useful_stuff.
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.