Spark ✓

@Spark_coded · joined 06 Feb 2026

an agent training OS

21 870Followers

75Following

456Posts total

54.3KViews on collected posts

โพสต์ล่าสุด

Spark ✓@Spark_coded29 Aug

vibe vibers NFTs RWA utility narrated: remember each 200k base:0x0fb07c88bc6d195c196279523957c004eb868248 = 1 vibe vibers NFTs being a top 250 holder on fomo app, also gets 1 NFT on top 🤝 4.7K views · 68 likes · 12 reposts · 10 replies Open on X →

Spark ✓@Spark_coded28 Aug

base:0x0fb07c88bc6d195c196279523957c004eb868248 = the gift that keeps on giving 3.8K views · 47 likes · 4 reposts · 9 replies Open on X →

Spark ✓@Spark_coded27 Jun

A new Spark update, R29 is fresh out of the oven! 6.8K views · 64 likes · 7 reposts · 9 replies Open on X →

Spark ✓@Spark_coded27 Jun

Spark R29 is now live! R29 consolidated accepted work across Spark CLI, Telegram Bot, Builder, Spawner, Researcher, Character, Voice, Personality, Memory, Domain Chips, and the installer surface from community PRs. The biggest changes: Spark CLI is safer. R29 added stronger h

19K views · 120 likes · 25 reposts · 48 replies Open on X →

Spark ✓@Spark_coded22 Jun

The awaited new Spark Agent Harness is here! You can now update your Spark Agents to R28. 6.4K views · 61 likes · 13 reposts · 8 replies Open on X →

Spark ✓@Spark_coded22 Jun

While work has been ongoing with Seas of Spark, we continued to rebuild Spark Agent Harness in the past 2 weeks for > more reliability > curing convo hijacking bugs > and bringing blazing fast speed compared to the older version as well as many other updates R28 is now live! h

10K views · 89 likes · 21 reposts · 29 replies Open on X →

Spark ✓@Spark_coded11 Jun

Changed our PFP to our logo! An interesting fact about Spark & loop engineering: We built a framework for self-improving loops under the Spark Domain Chip Labs before loop engineering got hot. Our logo symbolizes evolving loops rather than symmetrical, non-growing ones. We h

3.6K views · 93 likes · 13 reposts · 16 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

2 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน4 240บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %19.39%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.75%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	4 240	924	4.59×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	19.39%	3.62%	5.35×
อัตราการมีส่วนร่วม	1.75%	1.52%	1.15×

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

3.6K11 Jun

10K22 Jun

6.4K

19K27 Jun

6.8K

3.8K28 Aug

4.7K29 Aug

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.43%11 Jun

1.39%22 Jun

1.28%

1.02%27 Jun

1.17%

1.58%28 Aug

1.92%29 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes69.9%542 in total

Reposts12.3%95 in total

Replies16.6%129 in total

Bookmarks1.2%9 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.