Drew Bredvick ✓

@DBredvick · Austin, TX · joined 02 May 2011

Growing GTM engineering (applied ai) ▲ @Vercel

11 679Followers

954Following

5 034Posts total

584.9KViews on collected posts

Postingan terbaru

Drew Bredvick ✓@DBredvick10 Sep

A practical software factory: Now that we have a Slack channel flowing with "bad data" issues that our agents encounter in the wild we're ready to build. First, I solved 5 of the data issues with PRs locally so I had a feel for the shape of the task. Each message has one of 3K views · 21 likes · 1 reposts · 3 replies Open on X →

Drew Bredvick ✓@DBredvick5 Sep

For a long time, most GTM software has been pretty bad. The foundational stuff like Salesforce is high quality but all point solutions are pretty average. This is why everyone wants to vibe code replacements: the old software wasn’t good and the reps that use it know that. 5.1K views · 39 likes · 0 reposts · 14 replies Open on X →

Drew Bredvick ✓@DBredvick4 Sep

The benchmark that really matters 1.7K views · 16 likes · 0 reposts · 1 replies Open on X →

Drew Bredvick ✓@DBredvick4 Sep

GPT-5.6 Astra just exploded Runescape bench scores, setting huge records on 10/16 skills. Huge outlier performance. https://t.co/0eplSZs8uD

282.7K views · 2.4K likes · 121 reposts · 76 replies Open on X →

Drew Bredvick ✓@DBredvick3 Sep

Btw this applies to sales too. GTM is code. 13K views · 69 likes · 1 reposts · 10 replies Open on X →

Drew Bredvick ✓@DBredvick2 Sep

On this note, just shipped a way for our GTM agent to flag bad data it encounters as it works. We've got a Slack channel where employees report wonky data but now the agents can too. Pretty soon I'll just let the fix the bad data automatically. 6.5K views · 30 likes · 0 reposts · 3 replies Open on X →

Drew Bredvick ✓@DBredvick2 Dec 2025

Hi, I'm the engineer that built out Vercel's first AI SDR agent mentioned below👋 AMA 273K views · 809 likes · 29 reposts · 78 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan5 777akun ini924median untuk 10K–100K

Jangkauan, %49.46%akun ini3.62%median untuk 10K–100K

Interaksi, %0.89%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	5 777	924	6.25×
Jangkauan (tayangan ÷ pengikut)	49.46%	3.62%	13.7×
Tingkat interaksi	0.89%	1.52%	0.58×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

273K2 Dec

6.5K2 Sep

13K3 Sep

282.7K4 Sep

1.7K

5.1K5 Sep

3K10 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

0.34%2 Dec

0.51%2 Sep

0.62%3 Sep

0.93%4 Sep

0.97%

1.05%5 Sep

0.85%10 Sep

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

What the audience does

Likes65.8%3 364 in total

Reposts3.0%152 in total

Replies3.6%185 in total

Quotes0.9%48 in total

Bookmarks26.6%1 362 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.