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Fahmi Dani's avatar
Fahmi Dani
proJakarta, Indonesia
Developing High-Class & Scalable Framer Sites Super Fast⚡
$25k+
Earned
11x
Hired
4.9
Rating
35
Followers
FRAMER_EXPERT

expert

Developing High-Class & Scalable Framer Sites Super Fast⚡
Cover image for Simon Stellar Framer Landing Page
Simon Stellar Framer Landing Page
2
69
Cover image for Recent Works ✨
Recent Works ✨
6
178
Cover image for WotNot Framer Site Development
WotNot Framer Site Development
1
31
Cover image for Transforming Liven's Figma Designs into a Responsive Framer Site
Transforming Liven's Figma Designs into a Responsive Framer Site
1
22
React(1)
Daniel Wijaya's avatar
Daniel Wijaya
proJakarta, Indonesia
Figma · Framer · Next.js
$10k+
Earned
11x
Hired
4.9
Rating
19
Followers
FRAMER_EXPERT

expert

LOTTIEFILES_X_FIGMA_EXPERT

expert

+1
Figma · Framer · Next.js
Cover image for Dashboard in React.js (Powered by Supabase)
Dashboard in React.js (Powered by Supabase)
0
11
Cover image for Scrollytelling Framer Website
$2K+ earned
Scrollytelling Framer Website
1
34
Cover image for Booking Web Experience for PHANTOM PIK 2 ✨
Booking Web Experience for PHANTOM PIK 2 ✨
1
14
Cover image for BrowseBeats.com Brand Design
$750 earned
BrowseBeats.com Brand Design
1
1
9
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Kelvin Desman's avatar
Kelvin Desman
proJakarta, Indonesia
Mind of an engineer and the heart of an entrepreneur.
$50k+
Earned
1x
Hired
10
Followers
Mind of an engineer and the heart of an entrepreneur.
Cover image for lokerdollar.com (http://lokerdollar.com) — Remote Job
lokerdollar.com (http://lokerdollar.com) — Remote Job Aggregator for Indonesian Talent • Architected on Next.js 15 (App Router, RSC), TypeScript, Cloudflare Workers, D1, R2, and KV — zero-runtime-latency SEO pages powered by an ahead-of-time AI enrichment pipeline • Designed a freemium monetization model (Guest / Free / Open Profile / Pro), Talent Visibility opt-in and a B2B employer discovery product • Built an autonomous CI/CD repair pipeline using GitHub Actions + anthropics/claude-code-action@beta that detects pipeline failures and pushes fixes to PRs without manual intervention • Runs a PostHog A/B testing loop on the hero section and conversion funnel; full observability via Sentry and Cloudflare Worker logs • 100% of planning, implementation, and review flows through Claude Code, Codex, and Antigravity — spec-driven, agentic, and reproducible
0
42
Cover image for Admisi Institut Teknologi Indonesia
Admisi Institut Teknologi Indonesia
0
9
Cover image for For every feature I shipped
For every feature I shipped with an AI agent, I shipped more than two fixes. 1,000+ PRs. 84 days. Solo. The throughput was real — but 360 of those PRs were fixes against 150 features. That ratio is the part nobody puts in their recap post. The core problem: the agent is a 20× author, not a 20× reviewer. I had no leverage on verification — just guards built from past failures, useless against anything new. What I'd change: second agent for adversarial review only, and changes small enough that being wrong is cheap. Agentic engineering doesn't remove the hard part. It moves it.
1
28
Cover image for Optimize Remote Job Applications for Indonesian Developers w...
Built a RAG job-hunting agent for Indonesian developers applying to remote USD jobs. 28 days of real usage. Here's what I learned. The problem: applying to 50+ remote jobs manually is exhausting. Wrong roles, no resume tailoring, hours wasted per application. The workflow now: One message → agent retrieves relevant jobs → ranks them → generates tailored resume + cover letter → user approves or skips. Stack (still running $0 free tier): · Embeddings: Cloudflare Workers AI qwen3-embedding-0.6b · Vector search: Cloudflare Vectorize, cosine similarity · Database: Cloudflare D1 / SQLite, one batched query · Semantic cache: Cloudflare KV, cosine ≥0.92 threshold · LLM: JSON-mode slot extraction + reply Only variable cost: ~$0.002/turn LLM usage 28-day numbers: · 235 sessions · 329 return visits · 743 agent turns · 357 job cards surfaced → 46 approved applications ~20 approvals per 100 sessions (target was 10–15) Total LLM cost: ~$1–4 Example matches from one natural-language query: Linear — 96/100 · DatAds — 95/100 · Spotify — 100/100 Two decisions I'd make again: · The scorer is deterministic — pure function, 7 weighted components, 0–100. No model drift. Users see exactly why a job scored highly. I didn't trust LLM ranking for something this consequential. · There's a regex fallback behind every LLM extraction. If the model fails or times out, the conversation continues. Users never hit a dead end. What's next: · Tracking downstream outcomes — recruiter replies, interviews Detecting expired/duplicate posts more aggressively Calibrating scoring weights from real approval behavior · The pipeline runs cheaply and generates real approvals. The next challenge is proving it improves actual job outcomes — not just application volume. This is the kind of system I enjoy building: AI-native product on constrained infra, with real users and measurable north-star metrics. If you're working on something similar — hiring pipelines, talent matching, AI agents for job seekers — I'd enjoy comparing notes. And if you're an Indonesian dev hunting remote USD roles, the product is live at lokerdollar.com (http://lokerdollar.com). What would you build differently? 👇 #RAG (https://www.linkedin.com/search/results/all/?keywords=%23rag&origin=HASH_TAG_FROM_FEED) #CloudflareWorkers (https://www.linkedin.com/search/results/all/?keywords=%23cloudflareworkers&origin=HASH_TAG_FROM_FEED) #BuildInPublic (https://www.linkedin.com/search/results/all/?keywords=%23buildinpublic&origin=HASH_TAG_FROM_FEED) #AIEngineering (https://www.linkedin.com/search/results/all/?keywords=%23aiengineering&origin=HASH_TAG_FROM_FEED) #RemoteJobs (https://www.linkedin.com/search/results/all/?keywords=%23remotejobs&origin=HASH_TAG_FROM_FEED) #IndonesianDevelopers (https://www.linkedin.com/search/results/all/?keywords=%23indonesiandevelopers&origin=HASH_TAG_FROM_FEED)
3
71
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Gema Saputera's avatar
Gema Saputera
Depok, Indonesia
Web Design & Frontend Developer for SaaS and startups
Web Design & Frontend Developer for SaaS and startups
Cover image for Beelajar 2.0 – Evolving Enterprise Learning with Personalized UX
Beelajar 2.0 – Evolving Enterprise Learning with Personalized UX
0
1
Cover image for Winning UI Design for KADI Pro Poker Platform
Winning UI Design for KADI Pro Poker Platform
0
11
Cover image for Scalpworx Landing Page Design
Scalpworx Landing Page Design
0
0
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Septian A. Tama's avatar
Septian A. Tama
Jakarta, Indonesia
7+ years building optimized web products
$5k+
Earned
2x
Hired
2
Followers
7+ years building optimized web products
Cover image for Quipper Campus
Quipper Campus
0
29
Cover image for COHIVE's Member Dashboard
COHIVE's Member Dashboard
0
4
Cover image for COHIVE's Company Website
COHIVE's Company Website
0
24
Cover image for COHIVE's Blog
COHIVE's Blog
0
2
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