✅ Dappos SOP Evaluation이란? 벌써 댑오스 마지막 날이네요. 간당간당한데 오늘은 댑오스 위주로만 포스팅 해보겠숩니다! 같이 달리신 분들 마지막까지 가즈아잇! 결과를 평가하면서 더 좋은 워크플로우를 남기는것. skill(sop)을 만들었다고 그게 최선은 아니겠죠? xBubble은 SOP 구축 과정에서 Evaluation을 거쳐 결과가 실제 목표에 얼마나 잘 맞는지 확인하고, 부족한 부분은 다시 수정하는 방식을 사용합니다. 코딩, 테스트, 디버깅과 함께 평가 과정까지 반복되면서 실행 경로를 다듬을 수 있음. 똘똘한 1sop, 10sop 안 부럽다! 핵심 키워드 SOP Evaluation · Testing · Quality · xBubble #Dappos

Channel
오늘의꿀통
@honeyoftoday
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
6,235subscribers
-4 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 | -1001862039956 |
|---|---|
| Type | Channel |
| Username | @honeyoftoday |
| Created | Between 1 October 2022 and 30 September 2023— 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/honeyoftoday |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 22:07 | 6,235 | -6 |
| 11 Aug 2026, 11:27 | 6,241 | -9 |
| 8 Aug 2026, 08:31 | 6,250 | +11 |
| 7 Aug 2026, 15:46 | 6,239 | first reading |
Engagement
61 posts held, back to 6 August 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.41%
- avg views ÷ 6,235 subscribers
- Avg views / post
- 275
- 61 posts measured
- Reaction rate
- 4.73%
- reactions ÷ views · ER floor
- Posts in window
- 61
- of 61 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 60 of 61 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 61 (6 August 2026 – 12 August 2026) |
| Views total | 16,770 |
| Reactions total | 793 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:24 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
- 5m 12s
- Average length
- 26s
Measured directly from 12 videos 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
793 reactions across 60 posts, in 20 distinct kinds. The most used accounts for 43.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 344 | 43.4% | |
| 👍 | 190 | 24.0% | |
| ❤ | 148 | 18.7% | |
| 🤩 | 33 | 4.16% | |
| 🤝 | 19 | 2.40% | |
| 😱 | 12 | 1.51% | |
| 🥰 | 10 | 1.26% | |
| 😁 | 9 | 1.13% | |
| 😢 | 8 | 1.01% | |
| 🔥 | 6 | 0.757% | |
| 🖕 | 3 | 0.378% | |
| 🥴 | 3 | 0.378% | |
| ⚡ | 1 | 0.126% | |
| 🍓 | 1 | 0.126% | |
| 🍾 | 1 | 0.126% | |
| 🐳 | 1 | 0.126% | |
| 👻 | 1 | 0.126% | |
| 🙈 | 1 | 0.126% | |
| 🙉 | 1 | 0.126% | |
| 🤬 | 1 | 0.126% |
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 60 of the 61 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 793reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 6 August 2026 to 12 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
✅2026.08.11 Despread 스토리텔러 현황 ✅오늘 하루도 화이팅입니다 ✅매크로 써서 복붙하시면 에어드랍 대상에서 제외됩니다 DAPPOS 스토리텔러 캠페인 시즌3 🐹보상 : 전체 발행량의 0.005% ($DOS) 🐹지급 : TGE 후 7영업일 이내 🐹기준 : 14D 🐹순위 : 14D 22위(전날대비 1위🔼) 🐹종료 : 08월 12일 웹사이트 / 트위터(X) / 텔레그램 / 커뮤니티 #Despread #스토리텔러 #Storyteller #디스프레드 #3ridge #DAPPOS #DOS
❤10👍3👏2🤩1
✅ Dappos Continuous Optimization 방식이란? 업무 자동화를 만들었다 가정해 봅시다. 사업 방식이 바뀌고 새로운 요소들이 생기면 기존 Workflow도 계속 수정되어야 합니다. xBubble의 Continuous Optimization 방식은 Bubble Engine이 SOP를 지속적으로 개선해 변화하는 업무에 맞춰 발전시키는 것입니다. 요약: 자동화를 만들어 놓고 방치하는 것이 아니라 계속 개선되는 비즈니스 프로세스를 만드는 구조 핵심 키워드 Continuous Optimization · Bubble Engine · SOP Improvement · Workflow #Dappos
❤9👏3👍1🤝1🤩1
✅ Dappos Workflow Automation 아라보기 비즈니스 규모가 커질수록 문제는 단순 업무보다 여러 단계가 연결된 복잡한 Workflow가 필요합니다. xBubble은 이런 반복적인 업무 흐름을 SOP로 구성해 사람이 매번 직접 관리해야 하는 과정을 줄이는 역할을 하는데, 자료 입력부터 처리, 검토, 결과 생성까지 하나의 프로세스로 연결하면 운영 부담도 줄어듭니다. 목표는 단순 작업 자동화가 아니라 비즈니스 전체 흐름을 시스템화하는 것이라고. 핵심 키워드 Workflow Automation · SOP · Business Process · xBubble #Dappos
❤10👏2👍1🤝1🤩1
✅ Dappos Public SOP Library란? DAPPOS는 개인 사용자에게 1,000개 이상의 Public SOP 을 제공합니다. SOP를 처음부터 만들 필요 없이, 이미 만들어진 업무 프로세스 가운데 목적에 맞는 것을 선택해 활용할 수 있는 구조. SOP가 늘어날수록 xBubble은 하나의 AI 도구를 넘어 검증된 AI 업무 방식을 공유하고 재사용하는 생태계로 확장실킬 수 있다는건데, 템플릿이랑 비슷한 느낌이네요 핵심 키워드 Public SOP · 1,000+ SOPs · SOP Library · AI Ecosystem #Dappos
👏11❤2👍1🤝1🤩1
이거 갑자기 로빈후드 체인 인스크립션 민팅으로 바꼈네요;; 눈치보다가 Arc쪽 빠르게 손절한듯? 홀더도 34명으로 본인들도 손절당했습니다 🤣
👏10🤩1
✅ Dappos Booking SOP 아라보기 Bubble Engine은 직전 포스팅에서 언급했던 콘텐츠 수익화와 동시에 Booking SOP도 빌드업 하고 있습니다. 상담, 미팅, 서비스 예약처럼 고객이 시간을 선택하고 실제 서비스를 신청하는 과정은 OPC에게 필연적인 반복작업 업무인데, 이 과정을 SOP로 만들면 단순 콘텐츠 생성에서 끝나지 않고 고객 유입부터 실제 예약까지 이어지는 비즈니스 흐름으로 확장할 수 있다고 합니다. 신기한데? 핵심 키워드 Booking SOP · Service Booking · OPC · Business Automation #Dappos
👏12❤3👍2🤩1
✅ Dappos Paid Content SOP 아라보기 Bubble Engine은 Paid Content SOP를 통해 콘텐츠 수익화를 빌드업 하고 있습니다. 단순히 글이나 이미지를 만들어주는 것을 넘어서, 유료 콘텐츠 상품처럼 실제 비즈니스 결과와 연결되는 워크플로우까지 SOP 영역을 확장하기 위한건데, 콘텐츠 제작과 판매 과정을 각각 따로 처리하는 대신 하나의 반복 가능한 비즈니스 프로세스로 만드는게 목표라고 합니다. 수익화까지 고려하는건 재미있네요. 핵심 키워드 Paid Content SOP · Content Monetization · Bubble Engine · Business Workflow #Dappos
👍10❤3👏2🤩1
최근 Base 생태계에서 살아있는 플랫폼중 하나에 헤이엘사가 포함되어 있네요. 요즘은 각 체인 대장급 밈코인 외에는 눈에 띄는 녀석들 찾아보기 힘든듯? 개인적으로 베이스 체인 좋아하는데, 일을 넘나 못함..😂
👍6👏3🤩2
Dappos $DOS가 업비트 상장하면서 $0.5뚫었네요. NFT 홀더는 $50 에어드롭인가요? 내가 들고 있는 밈코인도 100M 뚫었으면 좋겠다.. #Dappos
❤12👍3👏3🤩1
✅ Dappos Smart SOP Recommendations란? SOP가 많아질수록 나에게 필요한 SOP를 찾는 것도 부담이 될 수 있습니다. 그리하야, xBubble은 Smart SOP Recommendations를 통해 일상적인 AI 작업과 개인 프로젝트에 적합한 SOP를 추천하는 기능을 제공하고 있음. 많은 skill((sop)을 만드는것 보다 이 sop의 활용과 적합한 추천이 중요하다고 dappos는 말합니다. 핵심 키워드 Smart SOP Recommendations · SOP Discovery · xBubble · AI Workflow #Dappos
👏11❤6👍2🤩1
✅2026.08.10 Despread 스토리텔러 현황 ✅오늘 하루도 화이팅입니다 ✅매크로 써서 복붙하시면 에어드랍 대상에서 제외됩니다 DAPPOS 스토리텔러 캠페인 시즌3 🐹보상 : 전체 발행량의 0.005% ($DOS) 🐹지급 : TGE 후 7영업일 이내 🐹기준 : 14D 🐹순위 : 14D 23위(전날대비 1위🔽) 🐹종료 : 08월 12일 웹사이트 / 트위터(X) / 텔레그램 / 커뮤니티 #Despread #스토리텔러 #Storyteller #디스프레드 #3ridge #DAPPOS #DOS
❤13👍2👏2🤩1
Showing the 12 most recent of 61 posts we hold for @honeyoftoday. 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.
Citation-graph rank
Citation-graph rank — 1,334,459 of 1,480,688entries 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
@unitsnews · 787,316
Telegram ranks this channel #63 of 85 here — alongside 84 others — read 15 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.
“오늘의꿀통” (@honeyoftoday), 6,235 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/honeyoftoday.
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.