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From prompt to production: I built "Build Buddies" to help freelancers ship faster together. 🚀
The prompt: "Build 'Build Buddies', a community app for freelancers. Include login/signup and a nav bar linking all 5 pages below. On user signup, set starting Karma_Balance to 3.
Pages & Data Schema:
Home Feed: Show and create ProjectPost (Title, Description, Image, Live_URL, Category text, Creator user). Condition: user needs Karma_Balance > 0 to post. Users add FeedbackComment (Content_Text, Is_Helpful bool, Author user, Related_Post). Creator can mark Is_Helpful = yes (adds +5 Karma to commenter).
Dashboard: Display User metrics (Karma_Balance, Current_Streak). List history of KarmaTransactions (Action_Type text, Points number, Associated_User).
Sprint Circles: Show and join SprintCircles (Name, Goal, Max_Members, Members list of Users). Include a circle-members-grid displaying SprintCircleMembers and a form to log DailyCheckIns (Blockers_Text).
Marketplace Board: Show and create MarketplaceBoardPosts (Post_Type: Service/Help, Title, Description, Budget, Contra_URL). Allow spending 2 Karma to feature a post.
Profiles & Network: View User profiles (Bio, Skills list, Portfolio_Link). Include a system to create a Vouch (From_User, To_User) to build peer trust."
Watch the walkthrough to see how this schema powers the community. #BuildBuddies https://shanicesagonda.bubbleapps.io/ ,
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App Name: GigPulse
Category: 📊 Dashboard + 🤝 Social/Community
What it does:
GigPulse is a personal freelance project tracker built for independent professionals who juggle multiple platforms. Freelancers can log their projects, track earnings per platform, monitor project status, and attach video demos of their work all in one private dashboard. The community benchmarking layer lets users see anonymized stats from other freelancers in their niche, so you always know how you stack up.
How I built on top of the AI-generated base:
Bubble AI generated the core dashboard structure and data architecture. From there, I manually engineered the video upload and playback system per project, built privacy-filtered data workflows so each user only sees their own data, added platform-specific earnings tracking with status badges, and designed a clean dark UI with collapsible video players. The AI gave me the skeleton, I built the muscles.
This is the Bubble AI-generated base after my initial prompt 'Build a freelance analytics dashboard app called "GigPulse" where
freelancers can track their gigs, proposals sent, earnings per platform,
client response rates, and monthly revenue goals. Include a community
benchmarking section where users can see anonymized stats from other
freelancers in their niche. Add user authentication, a personal stats
dashboard with charts, a goal-setting tracker, and a community feed
where freelancers share weekly wins.'
Everything you see in the final build beyond this point was manually engineered.
Did you know that one of New Zealand’s highest paid athletes was Tiger Woods’ caddy?
Despite golf being widely popular in Aus & NZ, accessibility and development of caddies is a current market gap. Caddy Club is a two-sided marketplace connecting golfers, event organisers and tours with professional and developing caddies. Caddy Club addresses the gap by providing a central platform where organisers can list caddying opportunities and caddies can apply, or be invited directly to roles for tournaments, corporate days, travelling elite golfers, and golf tours.
The initial AI prompt created a solid skeleton for my platform, however was quite crowded and overwhelming. My edits largely simplified and polished the design, and added additional workflows such as the ability for organisers to track and manage applicants for their events from end to end.
Built with: Bubble AI, ChatGPT assisting with the initial prompt
Live app: https://bethcroft9-40914.bubbleapps.io/
Shared on socials: LinkedIn Post
Hi everyone! 👁️ I built Second Eye for the @bubble #PromptAndCircumstance hackathon — and it's basically the brutally honest design critic every designer secretly needs.
Here's the idea: you drop in a design, and Second Eye scores it. Not with a vague "looks good" — but with a real breakdown across visual hierarchy, typography, color, spacing, accessibility, and usability. Every category gets a score, what's working, and what to fix. Then it tracks your progress over time on a dashboard, so you can actually watch your craft improve.
The heart of Second Eye is an analytics dashboard. It surfaces a designer's average AI score, total and published projects, peer ratings, and a score-trend chart — turning scattered feedback into measurable, trackable performance data that helps designers see how their work improves over time.
There's also a community side — a gallery where designers share work, leave critiques, and rate each other.
What I love about building this: it started as a single Bubble AI prompt. The AI gave me the skeleton — the layout, the data structure, the gallery. Everything after that was me reshaping it into something that actually works: the critique engine, the scoring logic, the trend chart, the whole community layer.
First time ever building on Bubble — and I shipped a real, working product. 🚀
Tools behind it:
Bubble AI (the foundation) · Claude by @AnthropicAI (logic + debugging) · ChatGPT (visuals)
Curious what your design scores? Go find out 👀
👉 https://second-eye.bubbleapps.io
Social: https://x.com/ruslana_prymak/status/2070560948583096531?s=20
Such a brilliant and highly practical tool! Every designer needs a brutally honest critic to catch spacing or accessibility slips before client reviews. Incredible execution for your first Bubble project—congrats on shipping! 👏🔥
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