Fireworks ✓

@FireworksAI_HQ · joined 30 Sep 2022

The frontier platform for training and inference on open-weights models at scale.

31 775Followers

291Following

1 614Posts total

20.8KViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views5 382this account2 896median for 10K–100K

Reach, %16.94%this account9.51%median for 10K–100K

Engagement, %1.12%this account1.56%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	5 382	2 896	1.86×
Reach (views ÷ followers)	16.94%	9.51%	1.78×
Engagement rate	1.12%	1.56%	0.72×

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

6.2K31 Aug

1.5K1 Sep

5.6K

5.4K

2.1K2 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.58%31 Aug

1.66%1 Sep

2.05%

0.82%

1.12%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.56%.

What the audience does

Likes76.7%201 in total

Reposts7.6%20 in total

Replies6.5%17 in total

Quotes1.9%5 in total

Bookmarks7.3%19 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

A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscope got the control they needed with the Fireworks Training API to train a model using their own advantages and loss to improve the signal-to-noise ratio. Build your own frontier: 2.1K views · 16 likes · 5 reposts · 1 replies 02 Sep 2026 Our partners @LangChain generate billions of tokens of agent traces a day, their richest signal on how real users react. Judging every one with a frontier closed model like GPT-5.5 or Opus is too costly, so they fine-tuned a Qwen base model on Fireworks that matches it at up to 5.4K views · 32 likes · 4 reposts · 7 replies 01 Sep 2026 DeepSeek V4 Flash now comes with native vision on Fireworks. Available now on serverless and priority tiers. Better benchmarks than the text-only 0731 version at the same low price: $0.22 input / $0.66 output per 1M. Give your workhorse model eyes. Try it today → https://t.co 5.6K views · 102 likes · 6 reposts · 6 replies 01 Sep 2026 Train past the frontier. @tryheidi's ambient scribe drafts a clinical note the clinician has to trust enough to sign. They fine-tuned open models on Fireworks whose notes their clinicians preferred over Gemini’s in side-by-side reviews, at 3.5x lower latency. Build your own h 1.5K views · 21 likes · 2 reposts · 2 replies 01 Sep 2026 A secret that leaks into shipped code is a breach waiting to happen. @FactoryAI's droids write and commit code faster than any reviewer can keep up, so Droid Shield has to be trustworthy and low-friction: catch the real secrets, clear the false alarms. With the Training API, h 6.2K views · 30 likes · 3 reposts · 1 replies 31 Aug 2026