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

Ultimi post

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 →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane5 777questo account924mediana per 10K–100K

Copertura, %49.46%questo account3.62%mediana per 10K–100K

Interazione, %0.89%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	5 777	924	6.25×
Copertura (visualizzazioni ÷ follower)	49.46%	3.62%	13.7×
Tasso di interazione	0.89%	1.52%	0.58×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

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.