Google Open Source

@GoogleOSS · Mountain View, CA · joined 29 Mar 2017

Announcing new open source releases, exploring projects, sharing how we approach FOSS, and supporting communities around the world.

82 047Followers

145Following

2 264Posts total

16.8KViews on collected posts

Latest posts

Google Open Source@GoogleOSS7 Sep

We’ll be at #OSSummit + #EmbeddedLinux Conference Europe, October 7-9 in Prague! 🌍 This is THE spot to connect with open source enthusiasts, discover emerging trends, and get inspired by what’s next in the ecosystem. https://t.co/gTZGRQaezl

2.7K views · 5 likes · 1 reposts · 1 replies Open on X →

Google Open Source@GoogleOSS3 Sep

Is data about OSS reliable? 📉 We’re diving into the nuances of building comprehensive open source related datasets, the challenges of data retention, and why we must always question our sources. Building OSS metrics at scale is harder than it looks. 🧵👇 #OpenSource 2.7K views · 14 likes · 0 reposts · 2 replies Open on X →

Google Open Source@GoogleOSS18 Aug

@GoogleOSS Formal verification is a much better fit for policy engines than relying on heuristic tests alone. The key boundary is between verified CEL semantics and the surrounding agent/tool runtime—will the examples cover policy composition and fail-closed behavior under partia 13 views · 0 likes · 0 reposts · 0 replies Open on X →

Google Open Source@GoogleOSS18 Aug

Powered by Z3, the CEL Formal Verification Framework uses mathematical proofs to verify expressions and enforce security invariants across all inputs. Explore the framework and watch the demo video: https://t.co/GwklU98YC2 669 views · 3 likes · 1 reposts · 0 replies Open on X →

Google Open Source@GoogleOSS18 Aug

As AI agents draft and refactor critical system policies, how do you guarantee they are safe? Heuristic tests can miss production edge cases. @GoogleOSS is introducing formal verification for the Common Expression Language (CEL). 3.1K views · 16 likes · 1 reposts · 2 replies Open on X →

Google Open Source@GoogleOSS17 Aug

Exclusive: AI agents inch toward interoperability https://t.co/f7cAJDlhnY 2.8K views · 6 likes · 0 reposts · 0 replies Open on X →

Google Open Source@GoogleOSS4 Aug

@GoogleOSS 1.2k GSoC contributors is a big number, but the standards angle is bigger. Google Cloud backs MCP's july 28 spec, which added Mcp-Method and Mcp-Name headers so gateways can block or meter tool calls without touching the json body. https://t.co/ZgXMvBG2YA 8 views · 1 likes · 0 reposts · 0 replies Open on X →

Google Open Source@GoogleOSS3 Aug

In 2025, Google worked on AI agent standards like A2A, upstreamed security fixes with CodeMender, & supported 1.2k+ GSoC contributors. Check out our 2025 Open Source Retrospective! What tools shaped your year? 3.8K views · 14 likes · 3 reposts · 2 replies Open on X →

Google Open Source@GoogleOSS31 Jul

MCP removed the sticky session that made it hard to scale. The July 28 spec moves state out of the transport so ordinary web infrastructure can route, cache, meter, and govern agent calls. The migration cost is real. The architectural payoff is larger. https://t.co/6W29vlsfgh 1K views · 2 likes · 0 reposts · 1 replies Open on X →

Against accounts of the same size

9 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views2 699this account996median for 10K–100K

Reach, %3.29%this account3.84%median for 10K–100K

Engagement, %0.50%this account1.51%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 699	996	2.71×
Reach (views ÷ followers)	3.29%	3.84%	0.86×
Engagement rate	0.50%	1.51%	0.33×

Others in this range → Compare with another account → How these benchmarks are built →

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

1K31 Jul

3.8K3 Aug

84 Aug

2.8K17 Aug

3.1K18 Aug

669

2.7K3 Sep

2.7K7 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%31 Jul

0.50%3 Aug

12.50%4 Aug

0.22%17 Aug

0.62%18 Aug

0.60%

0.00%

0.59%3 Sep

0.26%7 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes70.1%61 in total

Reposts6.9%6 in total

Replies9.2%8 in total

Bookmarks13.8%12 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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