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OpenEvidence

@OpenEvidence · Miami, FL & San Francisco, CA · joined 10 Nov 2022

OpenEvidence is the most widely used AI-powered medical search, helping doctors access the world's knowledge at the moment it matters.

35 995Followers
393Following
490Posts total
331.9KViews on collected posts

Against accounts of the same size

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

Median views11 672this account2 896median for 10K–100K
Reach, %32.43%this account9.51%median for 10K–100K
Engagement, %0.55%this account1.56%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post11 6722 8964.03×
Reach (views ÷ followers)32.43%9.51%3.41×
Engagement rate0.55%1.56%0.35×

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

161.3K13 May
117.8K27 Aug
22.4K
4.3K
14.3K28 Aug
2.7K
9.1K3 Sep

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

0.21%13 May
0.08%27 Aug
0.29%
0.67%
0.61%28 Aug
0.73%
0.49%3 Sep

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

What the audience does

Likes62.1%502 in total
Reposts11.1%90 in total
Replies6.3%51 in total
Quotes3.6%29 in total
Bookmarks16.9%137 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

Today we are releasing the OpenEvidence Model Family. Our most powerful models yet, and (as of 2026) the highest scoring medical AI model family in the world on every mainstream benchmark. Osler for the hallway, Sackett for the consult, Snow for the tumor board. Every model in h 9.1K views · 34 likes · 5 reposts · 2 replies 03 Sep 2026 @TheAMSSM members serve as team physicians from the youth level through the NFL, NBA, and Olympic and Paralympic teams. Those same physicians will now review sports medicine resources co-developed with OpenEvidence, freely available to the clinicians who treat everyone else too. 2.7K views · 17 likes · 3 reposts · 0 replies 28 Aug 2026 Dr. Wachter’s point on the JAMA paper arguing AI can replace doctors: AI wins when it starts with clean clinical facts. Producing those facts is the practice of medicine. It’s the doctor who examines the patient, hears what they’re saying and what they’re leaving out, and turns a 14.3K views · 68 likes · 8 reposts · 9 replies 28 Aug 2026 American Medical Society for Sports Medicine and OpenEvidence Announce Partnership to Bring AI-Powered Sports Medicine Resources to Clinicians and Patients https://t.co/yKjgihumA3 https://t.co/znyS5MMBqp 4.3K views · 24 likes · 2 reposts · 1 replies 27 Aug 2026 I agreed with much of the controversial @JAMA_current piece on autonomous AI by @ZekeEmanuel @vkhosla @nealkhosla & @AbeBakerButler. Given a clean set of clinical facts, AI will often beat MDs on dx & Rx. But there's far more to the story. My new Substack: https://t.co/G2 22.4K views · 40 likes · 6 reposts · 12 replies 27 Aug 2026 OpenEvidence founder named to TIME100 AI 2026. "Over 300 million Americans will be treated by a doctor using OpenEvidence to help make a treatment decision." https://t.co/jhqL1oHFOd 117.8K views · 75 likes · 13 reposts · 3 replies 27 Aug 2026 “We did the hardest thing in the history of American health care. We got the majority of American doctors to all voluntarily adopt a single technology platform.” NBC News on how that happened, what U.S. physicians actually do with OpenEvidence, and how partnerships with NEJM, h 161.3K views · 244 likes · 53 reposts · 24 replies 13 May 2026

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