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Satya Prakash's avatar
Satya Prakash
proNew Delhi, India
Mobile App Architect • React Native Expert • 50+ App Shipped
$1k+
Earned
1x
Hired
5.0
Rating
13
Followers
Mobile App Architect • React Native Expert • 50+ App Shipped
Cover image for Stellar Baby Mobile App
Stellar Baby Mobile App
1
2
Cover image for GymCare Management System Development
GymCare Management System Development
1
13
Cover image for Rizz AI: Image Generation App Development
Rizz AI: Image Generation App Development
1
8
Cover image for Voice-First Productivity App Development
Voice-First Productivity App Development
1
4
Sentry(1)
Kelvin Desman's avatar
Kelvin Desman
Jakarta, Indonesia
Mind of an engineer and the heart of an entrepreneur.
$50k+
Earned
1x
Hired
11
Followers
Mind of an engineer and the heart of an entrepreneur.
Cover image for LokerDollar.com
LokerDollar.com
0
5
Cover image for I didn't believe the TypeScript
I didn't believe the TypeScript 7 speed claims. So I benchmarked it on my own production app — not a toy repo. 1,358 source files. 260K+ lines. The live codebase behind lokerdollar.com (http://lokerdollar.com). One change: tsc → tsgo (TS7, rewritten in Go). Same tsconfig, same tree, --noEmit. Cold type-check: 77.1s → 11.6s. 6.6× faster. −85% wall-clock. Then the part most "10× faster" posts skip — I checked whether it still catches bugs. Seeded 4 classic type errors. Byte-identical diagnostics: same codes, same line and column. The speed isn't bought by missing errors. But I'm not putting it in your CI yet — and here's the honest reason: — It's a release candidate — The native binary drops the JS typescript API, so typescript-eslint type-aware rules, ts-morph, ts-node and ts-jest break — Custom transformers and incremental builds are still maturing My call: run it now as a fast local / pre-PR check, and keep tsc as the authoritative CI gate until 7.0 ships stable. You get a 6.6× tighter local loop with zero risk to the pipeline. The ~$190/year in saved runner minutes is rounding error. The real return is nobody waiting on a turtle. #TypeScript #DevTools #WebDev
0
22
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
48
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
95
Sentry(1)
Krishna Singh's avatar
Krishna Singh
Varanasi, India
JavaScript FullStack Dev | Web, Mobile & AI Tools
11
Followers
JavaScript FullStack Dev | Web, Mobile & AI Tools
Cover image for Travel Booking Platform Backend Development
Travel Booking Platform Backend Development
2
3
Cover image for TS-SAAS - Production Ready Starterkit
TS-SAAS - Production Ready Starterkit
2
12
Cover image for Development of Arnoz Headless Shopify Storefront
Development of Arnoz Headless Shopify Storefront
2
5
Cover image for DriveGuard - Expo Mobile App Development
DriveGuard - Expo Mobile App Development
2
3
Sentry(1)
Dipal Patel's avatar
Dipal Patel
Ahmedabad, India
No-Code & AI Automation | Webflow | Bubble | Framer | n8n
16
Followers
No-Code & AI Automation | Webflow | Bubble | Framer | n8n
Cover image for A clean, modern website built
A clean, modern website built for a dental clinic in Edmonton, Canada. The goal was to create a digital presence that feels as comfortable and trustworthy as walking into the clinic itself — turning first-time visitors into booked appointments through thoughtful design and a clear user journey. Dental websites often fall into two traps — either too clinical and cold, or too generic and forgettable. This one was built to avoid both. Every design decision, from the color palette to the page structure, was made with one goal in mind: make the visitor feel at ease and make it effortless to take the next step. The Build The site was architected as a multi-page experience covering everything a new patient needs before their first visit — services, team introductions, office details, reviews, and an easy path to book. The information hierarchy was carefully planned so that nothing feels overwhelming, and every page naturally guides the user toward conversion Special attention was given to mobile performance, since a large portion of local service searches happen on mobile. The responsive layout adapts cleanly across all screen sizes without losing the visual quality of the desktop experience. The blog and reviews sections were built with long-term growth in mind — giving the clinic a platform to publish patient education content and collect social proof over time, both of which contribute to local SEO and ongoing trust-building. What Was Built → Fully responsive multi-page website optimized across all devices → Conversion-focused layout with clear appointment booking flow → Services page structured to educate and reassure new patients → Blog section for patient education and ongoing SEO content
2
166
Cover image for A full-featured e-commerce platform built
A full-featured e-commerce platform built for one of Hong Kong's most trusted pet stores — bridging the gap between a beloved local shop and a scalable online retail experience. The platform needed to handle a large product catalog, multiple service offerings, and a loyal customer base, all within a seamless and intuitive shopping experience. Built on Shopify with heavy customization to support the complexity of a multi-category pet care ecosystem — from frozen raw food to vet diet products and in-store service bookings. What Was Built → Custom Shopify storefront with tailored UI components across hundreds of product listings → Advanced product filtering and categorization system for dogs, cats, healthcare, and brands → Subscription and save flow integrated for repeat purchase products with automated billing → VIPaws loyalty membership system with tiered rewards and member-exclusive pricing → Product bundling and gift subscription features for promotional campaigns → Multi-location store finder integrated with opening hours and service details → Service booking integration for grooming, self-dog wash, and café reservations → Performance-optimized pages with fast load times across large catalog pages → Mobile-first responsive design for on-the-go pet owners
2
154
Cover image for Most rental platforms show you
Most rental platforms show you a list of properties and leave you to figure out the rest. This platform was built differently — as a complete vacation experience, not just a booking tool. Designed for premium coastal properties, it connects travelers with their ideal beachfront stay through intelligent matching, immersive exploration, and end-to-end trip planning — all in one place. What Was Built → AI-powered property matching that surfaces the right rental based on traveler preferences, dates, and budget → VR property tours allowing guests to explore spaces before booking → Dynamic pricing engine that adjusts rates in real time based on demand, season, and availability → Integrated concierge system for personalized guest support throughout the stay → Activity booking and local attraction integrations built directly into the guest experience → Personalized vacation planning tools that turn a simple rental into a full itinerary The Outcome A scalable, full-featured rental ecosystem that does two things exceptionally well — simplifies luxury property management for owners, and creates tailored, memorable beachfront experiences for every traveler. Built to handle growth, built to impress guests, and built to make every coastal stay feel like it was designed just for them.
2
169
Cover image for One of India's leading online
One of India's leading online supplement stores, built around one core promise — authentic products at honest prices. With 800,000+ app downloads and 5000+ reviews averaging 4+ stars, it has earned the trust of fitness enthusiasts across the country. Whether you're a beginner starting your fitness journey or an experienced athlete pushing limits, every stage of your goal is covered — from muscle building and weight gain to recovery, performance, and overall wellness. The platform believes in holistic health — not just aesthetics. Ancient practices like yoga and meditation combined with the right nutrition create a balance between physical performance and long-term wellbeing. Supplements are an addition to your diet, not a replacement. What's Available → Whey Protein & Isolate Powders → Mass Gainers & Weight Gainers → Pre-Workout & Post-Workout Supplements → Multivitamins, BCAA, Creatine & Amino Acids → Fat Burners, Omega 3, ZMA & Sleep Support
1
125
Sentry(1)
Kenneth Ibea's avatar
Kenneth Ibea
Philippines
Full Stack Engineer(React/Next, Vue, Golang, AWS Expert)
Full Stack Engineer(React/Next, Vue, Golang, AWS Expert)
Cover image for Voice Message Social Media System
Voice Message Social Media System
0
11
Cover image for Learning Management System
Learning Management System
0
40
Cover image for Predict Stock Price Using OpenAI API
Predict Stock Price Using OpenAI API
0
16
Cover image for Recruit Management System
Recruit Management System
0
20
Sentry(1)
Mukhammad John's avatar
Mukhammad John
Tashkent, Uzbekistan
UI Designer & Web Developer
UI Designer & Web Developer
Cover image for Uzum Market
Uzum Market
1
17
Cover image for Samolet
Samolet
1
7
Cover image for AVO
AVO
1
5
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Shagan Plaatjies's avatar
Shagan Plaatjies
Sandton, South Africa
Enterprise & SMME Software Solutions Expert
Enterprise & SMME Software Solutions Expert
Cover image for Vodacom Vouchers
Vodacom Vouchers
0
11
Cover image for VodaLend Personal Loans
VodaLend Personal Loans
0
11
Cover image for Dexter Tuition
Dexter Tuition
0
6
Cover image for Dulcey Beauty Lounge
Dulcey Beauty Lounge
0
3
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