Vercel gives developers the frameworks, workflows, and infrastructure to build a faster, more personalized web.
I notice that the social mentions provided don't contain substantial user feedback specifically about Vercel itself. The mentions reference Vercel only tangentially - one discusses AI coding agents and UI verification, while another mentions a tool hosted on Vercel but focuses on Claude Code pricing comparisons. Without actual user reviews or detailed social discussions about Vercel's platform, features, pricing, or user experience, I cannot provide a meaningful summary of what users think about Vercel. To give you an accurate assessment, I would need reviews and mentions that specifically discuss Vercel's deployment platform, developer experience, pricing model, performance, or other relevant aspects of their service.
Mentions (30d)
1
Reviews
0
Platforms
3
Sentiment
0%
0 positive
I notice that the social mentions provided don't contain substantial user feedback specifically about Vercel itself. The mentions reference Vercel only tangentially - one discusses AI coding agents and UI verification, while another mentions a tool hosted on Vercel but focuses on Claude Code pricing comparisons. Without actual user reviews or detailed social discussions about Vercel's platform, features, pricing, or user experience, I cannot provide a meaningful summary of what users think about Vercel. To give you an accurate assessment, I would need reviews and mentions that specifically discuss Vercel's deployment platform, developer experience, pricing model, performance, or other relevant aspects of their service.
Features
Industry
information technology & services
Employees
890
Funding Stage
Series F
Total Funding
$863.0M
Show HN: ProofShot – Give AI coding agents eyes to verify the UI they build
I use AI agents to build UI features daily. The thing that kept annoying me: the agent writes code but never sees what it actually looks like in the browser. It can’t tell if the layout is broken or if the console is throwing errors.<p>So I built a CLI that lets the agent open a browser, interact with the page, record what happens, and collect any errors. Then it bundles everything — video, screenshots, logs — into a self-contained HTML file I can review in seconds.<p><pre><code> proofshot start --run "npm run dev" --port 3000 # agent navigates, clicks, takes screenshots proofshot stop </code></pre> It works with whatever agent you use (Claude Code, Cursor, Codex, etc.) — it’s just shell commands. It's packaged as a skill so your AI coding agent knows exactly how it works. It's built on agent-browser from Vercel Labs which is far better and faster than Playwright MCP.<p>It’s not a testing framework. The agent doesn’t decide pass/fail. It just gives me the evidence so I don’t have to open the browser myself every time.<p>Open source and completely free.<p>Website: <a href="https://proofshot.argil.io/" rel="nofollow">https://proofshot.argil.io/</a>
View originalPricing found: $20/mo, $20, $2, $0.15, $0.50
Show HN: ProofShot – Give AI coding agents eyes to verify the UI they build
I use AI agents to build UI features daily. The thing that kept annoying me: the agent writes code but never sees what it actually looks like in the browser. It can’t tell if the layout is broken or if the console is throwing errors.<p>So I built a CLI that lets the agent open a browser, interact with the page, record what happens, and collect any errors. Then it bundles everything — video, screenshots, logs — into a self-contained HTML file I can review in seconds.<p><pre><code> proofshot start --run "npm run dev" --port 3000 # agent navigates, clicks, takes screenshots proofshot stop </code></pre> It works with whatever agent you use (Claude Code, Cursor, Codex, etc.) — it’s just shell commands. It's packaged as a skill so your AI coding agent knows exactly how it works. It's built on agent-browser from Vercel Labs which is far better and faster than Playwright MCP.<p>It’s not a testing framework. The agent doesn’t decide pass/fail. It just gives me the evidence so I don’t have to open the browser myself every time.<p>Open source and completely free.<p>Website: <a href="https://proofshot.argil.io/" rel="nofollow">https://proofshot.argil.io/</a>
View originalWhy pay $100 for Claude Code? I benchmarked a $20 setup vs baseline (SWE-bench results)
[Original Reddit post](https://www.reddit.com/r/ClaudeCode/comments/1roflth/why_pay_100_for_claude_code_i_benchmarked_a_20/) Hey! I came back with some results :) Free tool: https://grape-root.vercel.app/ 70+ people using it :) they gave 3.7/5 average rating Still improving with feedbacks! Okay, so: I’m trying to properly validate a tool I’ve been building around Claude Code using Claude code. The goal is to reduce redundant repo exploration during multi-turn coding sessions. Instead of letting the model rediscover files every turn, it keeps a lightweight graph/state of the repo so follow-ups don’t start from scratch. I didn’t want to rely on “feels faster” claims, so I ran benchmarks. Benchmarks tested SWE-bench Lite Result: ~25% token cost reduction on average. The improvement mainly comes from avoiding the typical pattern: grep → wrong file → grep again → explore again The graph layer front-loads relevant files so Claude skips some of that exploration loop. Some instances were much better: astropy-12907 → ~68% cheaper But trivial bugs were worse because the graph overhead isn’t worth it as mostly single-turn tasks. RepoBench v1.1 Accuracy stayed roughly the same as baseline(Normal Claude code). But cost was almost similar because RepoBench tasks are mostly single-turn completions . So the graph overhead never pays off. Also, How and where can i show these results which would look more validated? What I realized My tool actually performs best when the workflow looks like this: Prompt 1 → explore repo Prompt 2 → refine bug Prompt 3 → adjust fix Prompt 4 → edge cases Basically follow-up prompts . But most benchmarks seem to measure single-turn tasks , which doesn’t really represent real coding sessions. My question If the thing you're testing is multi-turn repo navigation , what benchmark dataset actually makes sense? Right now I’m considering two options: Write a custom multi-turn benchmark script that simulates follow-up prompts Use some dataset that already exists for agent / multi-turn code tasks Datasets I’ve looked at: SWE-bench RepoBench Defects4J But none of them seem designed for persistent repo state across prompts as most of them are single turn prompts or mostly 4-5! Curious what people here think If you were trying to benchmark something like: repo navigation follow-up prompts multi-turn coding agents what dataset would you trust? Or is the only real option to build a custom benchmark for it? submitted by /u/intellinker Originally posted by u/intellinker on r/ClaudeCode
View originalYes, Vercel offers a free tier. Pricing found: $20/mo, $20, $2, $0.15, $0.50
Key features include: Your product, delivered., Agents, AI Apps, Web Apps, Composable Commerce, Multi-tenant Platform.
Based on user reviews and social mentions, the most common pain points are: token cost.
Mitchell Hashimoto
Founder at Ghostty / HashiCorp
1 mention
