Warp ✓
@warpdotdev · joined 01 Jun 2021
The open platform for automating development. Infrastructure to build, measure, and interact with agents across the SDLC
58 715Followers
3Following
3 232Posts total
204.2KViews on collected posts
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@warpdotdev Love this custom benchmarks from your own agent runs is such a powerful idea
36 views · 1 likes
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You can get early access at https://t.co/Y3HNH4Wn1K 🔖
966 views · 1 likes
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Factory benchmarks let you build your own model bench using your past coding agent runs.
- Mirrors your environment, secrets, and MCPs for each run
- Scores output on judging criteria you define
- Generates a report with model recs using cost vs. quality
Here's how it works: ht
70.9K views · 55 likes
· 4 reposts · 7 replies
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Public benchmarks are easy to game. The best solution: benchmark on your own data
2.9K views · 12 likes
· 2 reposts · 2 replies
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You can try benchmarks as part of Warp Factories. For select folks, we are offering $10k of factory usage to help get you started.
https://t.co/1dVW2ke7xj 🔖
1.1K views · 5 likes
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We used a factory benchmark to reduce our own cost-per-PR by 63%, from $80 per PR down to $30.
Here's a full walkthrough of the benchmark: https://t.co/84OeSmqwMk 👀 https://t.co/OLEVq6tkKq
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You can use results to inform your default models, or define custom model routers to let your agent pick the right model for each task.
For example, you may benchmark frontend UI changes in your codebase, and define a routing rule to always send those tasks to Grok 4.6 medium ht
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Then, review your benchmark report. This includes the overall model recommendation + a performance breakdown across tasks.
You can see a pareto graph along each scored dimension (ex: cost vs. quality), and how models performed on each task across your scoring criteria https://t.
654 views · 5 likes
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With your benchmark defined, you can customize the models and scoring criteria you want to test.
Use built-in scorers like correctness, code quality, and efficiency, or define custom rubrics for metrics your team cares about (Figma mockup alignment, e2e test quality, etc) https:
1.1K views · 6 likes
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Benchmarks are built from your team's past agent runs.
All agent runs are tracked in Warp Factories, letting you build a representative sample to test against. You can select tasks and define judging criteria yourself, or build a sample agentically using the Warp Factories MCP h
1.3K views · 11 likes
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Introducing Factory Benchmarks: The first model bench generated from your own coding tasks.
Measure, test and improve coding agents by replaying past agent runs, and cut cost-per-PR by 63%+
Here’s how it works 🧵 https://t.co/uZXVdRt8LZ
67K views · 181 likes
· 13 reposts · 24 replies
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Agents need a skill to improve their skills. Here's what that looks like:
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Frente a cuentas del mismo tamaño
16 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.
Visualizaciones medianas1 271esta cuenta924mediana de 10K–100K
Alcance, %2.16%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.53%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 1 271 | 924 | 1.38× |
| Alcance (visualizaciones ÷ seguidores) | 2.16% | 3.62% | 0.60× |
| Tasa de interacción | 0.53% | 1.52% | 0.35× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
67K3 Sep
1.3K
1.1K
654
630
1.2K
1.1K
229
9.2K
2.9K
70.9K
966
364 Sep
1.8K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.35%3 Sep
0.90%
0.67%
0.92%
0.95%
0.67%
0.45%
0.87%
0.50%
0.55%
0.10%
0.10%
2.78%4 Sep
0.39%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.8%458 in total
Reposts4.0%30 in total
Replies6.2%46 in total
Quotes3.2%24 in total
Bookmarks24.7%183 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.
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