How to vibe codeFeedspace
AI testimonial collection software and review automation
feedspace.io ↗SaaS
The verdict: can you vibe code Feedspace?
You can build a functional personal core loop of Feedspace in a few weeks, but maintaining automated scrapers for 100+ external review platforms will become an endless maintenance trap.
Building a personal testimonial collector with custom review forms, video recording via MediaRecorder API, an embeddable Wall of Love widget, and a simple dashboard is a great 2-week vibecoding project using Next.js and Cloudflare R2. However, trying to replicate the 'auto-sync from 100+ platforms' feature will instantly bog you down in brittle web scrapers, blocked IPs, and constantly changing DOM structures across Google, Trustpilot, and G2. If you only care about collecting reviews via your own forms and embedding a Wall of Love, the build is very satisfying. If you need it to auto-pull your existing reviews from every platform on the internet, paying for the SaaS is significantly cheaper than your debugging time.
Estimated effort: 3-4 weeks of part-time development and debugging
What you can't replicate
- Official partner API access and automated sync pipelines across 100+ proprietary review sites
- The integrated human video editing team offered on the Business tier
Founded
2023
Raised
—
Team
~15
Cheapest paid tier
$0
What Feedspace does
Feedspace is an AI-powered testimonial and review management platform designed to automate the collection, aggregation, and display of social proof through multi-format review forms, auto-sync widgets, and a Wall of Love.
Core features
- Multi-format review collection forms (text, audio, video recording with canvas/screen share)
- Conversational AI form sequencing with dynamic follow-up prompts
- Omnichannel review auto-syncing from external APIs (Google, Trustpilot, G2)
- Customizable Wall of Love pages and embeddable JavaScript widgets
- Video storage, compression, and transcoding pipeline
- Team management and workspace access controls
- Webhook and third-party integration pipelines (Slack, Zapier)
- Companion Chrome Extension for capturing reviews natively
The business
Pricing
- Starter$0
- Professional$29/mo
- Business$249/mo
Funding
Unknown / bootstrapped
Pay vs build, cumulative
Break-even at month 1 — after that, every month is money kept.
The hard parts of vibe coding Feedspace
- Maintaining robust API connectors and scrapers for 30-100+ external review platforms that frequently break due to DOM changes or rate limiting
- Managing reliable video recording, chunk uploading, transcoding, and low-cost object storage without hitting serverless timeout limits
- Building a high-performance, ultra-lightweight client-side JS embed widget that injects cleanly without causing layout shifts on third-party websites
- Real-time conversational form orchestration using LLM responses within latency constraints
How to vibecode Feedspace
Prerequisites
Node.jsfree
Required runtime for building and running the Next.js application.
GitHubfree
Source control and deployment pipeline integration.
Cloudflare Accountfree
Free tier hosting for edge serverless functions and cheap S3-compatible R2 video object storage.
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and shadcn/ui components |
|---|---|
| Backend | Next.js App Router API Routes |
| Database | Turso (SQLite at the edge for per-workspace review data) |
| Auth | better-auth |
| Payments | Skip (personal-use clone) |
| Other | Vercel AI SDK for conversational review form prompting, UploadThing for handling direct video/audio recording uploads to Cloudflare R2, PostHog for product analytics |
Hosting & infrastructure
| Cloudflare | Hosting static frontend assets, serverless API endpoints, and R2 bucket storage for recorded video testimonials. | $0-5/mo |
| Turso | Serverless SQLite database storing review forms, submissions, and workspace configs. | $0/mo |
Build guide
01Project Scaffolding and Database Schema
Initialize the Next.js project with Tailwind CSS, better-auth, and Turso SQLite database schema for workspaces, review forms, and reviews.
Initialize a new Next.js 16 project with TypeScript, Tailwind CSS v4, and App Router structure. Set up better-auth with email/password authentication backed by a Turso SQLite database client via libSQL. Create database tables for users, workspaces, review_forms (storing form title, welcome message, questions, active status), and reviews (storing workspace_id, form_id, rating, content_type [text, audio, video], review_text, media_url, customer_name, customer_email, customer_title, created_at). Implement database migration scripts and ensure connection handling works seamlessly on serverless runtimes.02Conversational Review Form Builder
Build the dashboard interface for creating and configuring customizable review collection forms with smart dynamic questioning.
Build a dashboard page in Next.js where users can create, edit, and delete review collection forms. Implement a form builder UI supporting customized branding (logo, primary color, welcome title) and form fields (star rating, text review, video recording toggle, audio recording toggle). Integrate the Vercel AI SDK to optionally enable a conversational mode where the form listens to the user's initial text response and dynamically prompts a relevant follow-up question. Save form configurations as JSON blobs in the Turso database.03Public Review Collection Page & Media Recorder
Develop the public-facing review submission interface where clients can leave text, audio, or video testimonials.
Create a public review submission page accessible via a unique slug (/submit/[formId]). Build a responsive UI that renders the form's branding, star rating component, and input selectors. Implement browser MediaRecorder API integrations for video and audio recording directly in the browser with live webcam preview and timer limits (e.g., 3 minutes max). Handle video stream permissions gracefully and provide clear visual feedback during recording.04Direct Video Upload and Storage Pipeline
Implement secure file uploads using UploadThing pointing to Cloudflare R2 object storage for recorded video and audio files.
Integrate UploadThing into the review submission workflow to handle direct uploads of recorded video (webm/mp4) and audio blobs. Configure the backend file router to store uploaded media securely in Cloudflare R2 object storage, generating persistent public CDN URLs. Save the resulting media URL alongside the review record in the Turso database, ensuring file size limits and MIME type validations are strictly enforced.05Review Management Dashboard
Build the central dashboard for sorting, filtering, approving, and starring collected reviews across workspaces.
Build a comprehensive review management dashboard where workspace owners can view all collected testimonials in a table or card layout. Add filtering by rating (1-5 stars), content type (text, video, audio), and approval status (pending, approved, archived). Implement quick action buttons to approve/hide reviews, copy direct review links, and view full video/audio playbacks in a modal.06Wall of Love & Embeddable Widget Generator
Create customizable Wall of Love pages and lightweight JavaScript embed snippets for user websites.
Build a dedicated public 'Wall of Love' showcase page per workspace displaying all approved reviews in a responsive masonry grid or carousel layout with light and dark theme toggles. Create a widget configuration screen where users can customize widget styles and copy a lightweight, asynchronous JavaScript embed snippet (<script src=".../widget.js" data-workspace-id="..."></script>). Implement the client-side vanilla JS widget script that fetches approved reviews from your API and renders them cleanly inside any host container without layout shifts.
Cost vs paying for Feedspace
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- AI Coding Assistant Pro Subscription (1 month)$20
Total~$20 one-time
Ongoing costs (monthly)
- Cloudflare Workers & R2 Storage~$0-5/mo
- Turso Database$0/mo
Total~$3/mo
Paying for Feedspace
$29/mo (Professional Plan)
Your time to build
35-50 hours
AI tool credits
$20 (1 month of Claude Code / Cursor Pro)
Break-even
Never (built for learning and custom control; SaaS auto-sync features cannot be replicated easily)
Own Feedspace? Wear the score
Put this badge on your site or README — it links back to this report.
<a href="https://vibeityourself.com/app/feedspace"><img src="https://vibeityourself.com/badge/feedspace" alt="Feedspace vibe-codeability score" /></a>[](https://vibeityourself.com/app/feedspace)Vibe code Feedspace: FAQ
- Can you vibe code Feedspace yourself?
- Solid side project — 62/100 vibecodeable. You can build a functional personal core loop of Feedspace in a few weeks, but maintaining automated scrapers for 100+ external review platforms will become an endless maintenance trap.
- How long does it take to vibe code Feedspace?
- 3-4 weeks of part-time development and debugging — roughly 35-50 hours of hands-on time with an AI coding agent.
- How do you build your own Feedspace?
- Scoped to personal use: Next.js with Tailwind CSS and shadcn/ui components on the front, Next.js App Router API Routes behind it, Turso (SQLite at the edge for per-workspace review data) for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Feedspace without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-4 weeks of part-time development and debugging. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Feedspace instead of paying?
- About ~$20 one-time to start and ~$3/mo to run, versus $29/mo (Professional Plan) for Feedspace. Break-even: Never (built for learning and custom control; SaaS auto-sync features cannot be replicated easily).
- What stack should you use to vibe code Feedspace?
- Next.js with Tailwind CSS and shadcn/ui components; Next.js App Router API Routes; Turso (SQLite at the edge for per-workspace review data); plus Vercel AI SDK for conversational review form prompting, UploadThing for handling direct video/audio recording uploads to Cloudflare R2, PostHog for product analytics.
Methodology
This report was generated by VibeItYourself's standard pipeline: we scrape feedspace.io (content, branding, screenshot), deep-research the company with AI + web search (pricing, funding, team, engineering complexity), then score rebuild feasibility 0–100 against the same rubric used for every app — scoped to a personal-use clone, not a competing business. How scoring works. Verdicts are honest by design: what you can't replicate is listed above.
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