Chirp ✓
@ChirpDeWi · joined 30 Sep 2021
Chirp is a #DePIN network and an #IoT ecosystem for #RWA, leveraging the power of #blockchain. https://t.co/agU59sxHxa
91 265Followers
116Following
1 815Posts total
14.2KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
Chirp can turn a site into a live 3D model and bind sensor data directly to the objects inside it.
A team can model multiple floors and outdoor areas, draw the site in 2D or 3D, or trace the footprint from an aerial map and anchor it to real coordinates. The editor includes more
2.6K views · 20 likes
· 4 reposts · 2 replies
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Every automation in Chirp keeps its version history.
When a team changes a rule, it can validate the new version before deployment and restore an earlier version if the change does not behave as expected. Nobody has to reconstruct the old logic from memory.
The editor also http
2.4K views · 15 likes
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We added a step-through debugger to the rules engine so teams can see exactly how an automation behaves before they rely on it.
Choose a test reading and run the rule one step at a time. You can step into a node, move over it, continue to a breakpoint or run to the end. The http
2.6K views · 16 likes
· 4 reposts · 1 replies
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Plus fixes across the board: sensor photos save properly, the Activity Log records permission changes again, widget values follow their condition colors, a device that reports once a day is no longer marked offline, and log retention matches your plan. Every release comes down to
106 views · 4 likes
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For everyone running Chirp through an AI client: every tool on the MCP server now declares whether it only reads or actually changes something, so ChatGPT or Claude answers questions instantly and asks before touching hardware. That safety layer is what makes it realistic to hand
127 views · 3 likes
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The second half is pure scale. One automation now runs across up to 500 devices — each on its own timer, each named in the alert. One rule per device was a real ceiling on deployment size. The Berlin complex covers eleven entrances with a single automation, and a building with ht
31 views · 2 likes
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Same direction with metrics: everything a deployment measures is now one searchable catalog — filter by unit, type and data type, create and edit in one dialog. The measurement setup of a thousand-device fleet, managed from one page. https://t.co/MyJIZtGylY
21 views · 2 likes
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Bar charts can print their values right on the bars, with the readings repeated under the graph — so a wall of small widgets on a big dashboard is still readable at a glance. https://t.co/Lr5SZgKPa7
19 views · 2 likes
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It's built for the hardware this network actually runs on: battery sensors that report rarely. If nothing new comes in during the wait, the condition keeps counting instead of falsely clearing. The all-clear can get its own condition and wait time too.
#LPWAN #IoTDevices
29 views · 2 likes
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Chirp 3.9 is live — Flight Log. This release removes two things that have capped how big deployments on the network can get: false alarms that make people switch their automations off, and a rules engine that needed one rule per device.
Full changelog and docs: https://t.co/HVe7
2.9K views · 27 likes
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It started with real commercial demand. A client owns an apartment complex in Berlin and needed to catch wheel thieves in his underground garage at night — impossible with motion sensors alone, because residents drive in at night too, and every arrival meant a false alarm. https:
203 views · 4 likes
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Now an automation can wait. Pick "Only if it lasts," set how long the condition has to hold — ten seconds to thirty days — and it only fires if it's still going. Nobody spends ten minutes in that garage at night unless something's wrong. False alarms are the main reason
106 views · 2 likes
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@ChirpDeWi Huge news that benefits $Chirp's narrative and opens the door to more public works usecases for using more decentralized infrastructure:
"Helium (HNT) cryptocurrency surged by over 250% this week after the city of Celina, Texas, converted its municipal Wi-Fi network i
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Over 2,000 vehicle tracker models work on Chirp, through a single ingest endpoint.
OBD2, CAN, standalone GPS units. You get a URL, you point the tracker at it, and the vehicle becomes an ordinary device on the platform — same dashboards, same rules engine, same alarms as a https
2.9K views · 25 likes
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เทียบกับบัญชีขนาดเดียวกัน
16 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีรุ่นเดียวกัน แต่ดึงการมีส่วนร่วมได้แรงกว่ามาก.
ยอดดูมัธยฐาน106บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %0.12%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %2.89%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 106 | 924 | 0.11× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 0.12% | 3.62% | 0.03× |
| อัตราการมีส่วนร่วม | 2.89% | 1.52% | 1.90× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
4030 Aug
1061 Sep
203
2.9K
29
19
21
31
127
106
52
2.6K2 Sep
2.4K3 Sep
2.6K4 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.00%30 Aug
2.83%1 Sep
2.96%
1.22%
10.34%
15.79%
14.29%
9.68%
3.15%
3.77%
9.62%
0.82%2 Sep
0.65%3 Sep
1.03%4 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes75.4%129 in total
Reposts12.9%22 in total
Replies8.2%14 in total
Quotes1.2%2 in total
Bookmarks2.3%4 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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