MongoDB ✓

@MongoDB · joined 12 Dec 2008

/*Think outside rows and columns.*/

503 536Followers

6 137Following

24 806Posts total

58.2KViews on collected posts

Neueste Beiträge

MongoDB ✓@MongoDB4 Sep

Set your OOO for MongoDB.local NYC on Sept. 30. ✨ One day, one room, one chance to hear from the experts putting effective AI agents into production. 🏙️ Register now: https://t.co/JCtkCOJa8c https://t.co/CwDSUMzzRV 5.1K views · 44 likes · 4 reposts · 1 replies Open on X →

MongoDB ✓@MongoDB3 Sep

MongoDB now powers the virtual file system behind @LangChain's Deep Agents. 🚀 This new integration lets you implement Deep Agents' BackendProtocol against MongoDB Atlas instead of building your own storage layer. And agent code calling read_file, write, glob, and grep don’t http 16.8K views · 24 likes · 4 reposts · 7 replies Open on X →

MongoDB ✓@MongoDB2 Sep

@MongoDB @VoyageAI Time to increase that Buyback and I love seeing the @VoyageAI growth 10 views · 0 likes · 0 reposts · 0 replies Open on X →

MongoDB ✓@MongoDB2 Sep

How do you keep search instant and logistics unbreakable, across millions of SKUs? ⚡ At MongoDB.local London, the team at @marksandspencer walked through how MongoDB Atlas unifies their supply chain and customer discovery in one place. Native Atlas Vector Search delivers https:/ 6.1K views · 13 likes · 3 reposts · 4 replies Open on X →

MongoDB ✓@MongoDB1 Sep

@MongoDB @VoyageAI the growth in customers is lowkey impressive real adoption being built here 76 views · 0 likes · 0 reposts · 0 replies Open on X →

MongoDB ✓@MongoDB1 Sep

MongoDB just announced Q2 FY2027 earnings. 📈 Total revenue of $772M, up 30% YoY. ☁️ MongoDB Atlas revenue grew ~29% YoY 🚀 EA & Other revenue grew 36% YoY 🤝 2,900 additional customers for a total of more than 70,600 total customers 🔍 @VoyageAI customers nearly doubled QoQ http 9.8K views · 24 likes · 19 reposts · 2 replies Open on X →

MongoDB ✓@MongoDB1 Sep

As August comes to a close, we'd like to recognize our MongoDB Community winners around the globe! 💚 Congratulations to: MUG Leader of the Month: Vladyslava Prykhodko Champion of the Month, AMER: Igor Alekseev Champion of the Month, EMEA: Max Hoarau Champion of the Month: ht 5.3K views · 11 likes · 2 reposts · 0 replies Open on X →

MongoDB ✓@MongoDB1 Sep

The hard part for enterprise AI is to make its agents reliable, fast, flexible, and scalable in production. That’s the challenge @LeenaAI_ is tackling as it builds enterprise AI agents for HR, IT, and finance. In our conversation at MongoDB.local Bengaluru, Mayank Kapoor, https 7.4K views · 5 likes · 1 reposts · 2 replies Open on X →

MongoDB ✓@MongoDB31 Aug

🎯 Schema design in MongoDB isn't one-size-fits-all. From embedding one-to-few relationships to knowing when denormalization actually helps, these 6 rules of thumb are just the start. Want to go deeper on topics like this? Explore our live webinars and find your next session ht 7.7K views · 26 likes · 6 reposts · 1 replies Open on X →

Im Vergleich zu Konten gleicher Größe

9 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe6 102dieses Konto5 983Median für 100K–1M

Reichweite, %1.21%dieses Konto1.49%Median für 100K–1M

Interaktion, %0.25%dieses Konto0.93%Median für 100K–1M

Kennzahl	Dieses Konto	Median für 100K–1M	Verhältnis
Medianaufrufe pro Beitrag	6 102	5 983	1.02×
Reichweite (Aufrufe ÷ Follower)	1.21%	1.49%	0.81×
Interaktionsrate	0.25%	0.93%	0.27×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

7.7K31 Aug

7.4K1 Sep

5.3K

9.8K

6.1K2 Sep

16.8K3 Sep

5.1K4 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

0.43%31 Aug

0.11%1 Sep

0.25%

0.48%

0.00%

0.33%2 Sep

0.00%

0.23%3 Sep

0.97%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes62.6%147 in total

Reposts16.6%39 in total

Replies7.2%17 in total

Quotes2.1%5 in total

Bookmarks11.5%27 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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