Freelance Fullstack Engineers in London
Freelance Fullstack Engineers in London
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Sakibul Islam
London, UK
Developer
$25k+
Earned
8x
Hired
5.0
Rating
39
Followers
expert
Club
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Developer
1
Google Summer of Code Contributor 2025 | The Rust Foundation
1
26
0
Software Engineer | HubSpot
0
217
0
Framer Plugins
0
76
0
Design Power Up (Framer development)
0
344
Fullstack Engineer
(3)
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Ali Shan
pro
London, UK
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
$50k+
Earned
5x
Hired
5.0
Rating
92
Followers
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Message
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
2
Full Stack Web App Build
2
52
1
Perfecto.
1
272
0
Payment and Backend Architecture
0
27
0
API Backend for Heavy Concurrent Load
0
28
Fullstack Engineer
(12)
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Moyo Weke
pro
London, UK
Frontend Dev & Web Designer | Framer, Figma, Decks
$1k+
Earned
2x
Hired
5.0
Rating
13
Followers
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Message
Frontend Dev & Web Designer | Framer, Figma, Decks
0
No-Code Website Creation for a Digital Marketing Specialist
0
7
1
NarrativeNest
1
48
0
Verlux E-commerce Web Design for Hospitality
0
8
0
Kupa Global Website Redesign
0
44
Fullstack Engineer
(2)
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Meddy ㅤ
London, UK
Creative code → Apps ✦ Research ✦ Events
$5k+
Earned
1x
Hired
105
Followers
Expert
Expert
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Creative code → Apps ✦ Research ✦ Events
22
I think I pushed my limits on this one.. 🛏️ My goal was to use all the tools in unison and learn how each tool could own a clear layer of the full product experience from code to marketing. Rork developed the app, Suno designed the audio, FLORA defined the visual language, Tolstoy for all the UGC, and Replit brought it online. After Christmas dinner, I sent my first prompt to Rork: “Design a digital members club for Gen-Z + working professionals committed to sleeping earlier in 2026.” The idea came from an old note I wrote after a health & wellness conference in Budapest: 'productivity revolves around a good night’s sleep' - marketing = Maslow's Hierarchy of Sleep (iOS app) ' 😬😂 And so? Pillow FM: A modern sleep experience for overstimulated minds. 'Guided Sleep meditations everyday at 10pm' Shall I continue this app?
5
22
1.3K
2
Diffused AI: Transforming Conference Content
2
11
7
I built a way to sell physical products in an app that feels more like a gallery than a shop. 📱 What does it do? It’s a remix-able template for selling physical products inside an app. You browse through pieces in a horizontal carousel, then scroll vertically through a product to explore it through multiple images before buying instantly with Apple Pay. I designed it for galleries and artists first, but it works for anyone selling physical products creators, brands, influencers anything that needs to feel a bit more premium. Why I built this: I kept thinking about how intentional artwork is presented in physical spaces, and how transactional it feels online. This is an attempt to close that gap and making purchases feel as frictionless as possible. Another bonus to why people will use this app is that apple does not tax physical good transactions, so sellers can keep more of what they earn. 🎉 The template remix-potential? Works really well because users can swap in any product and it simply works! Art, jewellery, vinyls, collectibles, anything physical allowed on the app store. This was fun I plan on refining and making more templates so I would appreciate any comments and feedback Build Preview 👀 (https://www.anything.com/mobile-preview/68217499-f987-4843-8bcb-f7864c536abc)Build Link 🔗 (https://www.anything.com/build/aCF0mfmHSEOLy_eGTFNqvA?v=sBZM6bBFQ0CWHu4QlFbZpA)
7
343
44
To mark 122 years of Ford Motors, this Super Bowl advertisement speaks directly to multi-generational audiences who value heritage, perseverance, and the powerful connection between sound and emotion. The story of the horse and carriage draws a parallel between the original Mustang and its modern counterparts, building towards anticipation before the unveiling of the new 2026 Mustang in Spring. The Location: Santa Clara, California played a huge role in the story as this year's Super Bowl is being hosted at the at Levi's Stadium. This made prompting the clothing easier, you'll notice each actor is wearing Denim. 'Horses dont Stop, they keep going' Brand: Mustang SFX: Morphic Images: Morphic Scripting: Morphic Voice: Eleven Labs Final: Premier Pro Each video was generated and sequenced entirely in Morphic *sound on*
24
44
2K
Fullstack Engineer
(2)
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Nico Belazaras
London, UK
Full-Stack Engineer (10y) | AI/RAG Systems, Shopify & SaaS
5.0
Rating
13
Followers
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Message
Full-Stack Engineer (10y) | AI/RAG Systems, Shopify & SaaS
22
Built a poker training app where you can practice real poker spots — Cash or Tournaments, any stack depth, any number of players. After every decision, it sends the hand to AI and gives you feedback on the spot. Still a work in progress: I’m refining some game logic and planning to add solver-based trees so you can drill only the tricky situations and cut down on unnecessary AI calls. Curious what you all think! Link: https://884bda6655f34706867ee4687c8d3512-main.projects.builder.my
2
22
565
0
RAG Pipeline & Podcast Summary Studio
0
26
0
Studio EDA — Custom Booking System for Dance Academy
0
12
0
Sambat — The Original Maple Bat Corporation
0
14
Fullstack Engineer
(5)
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Abdulhamid Sonaike
pro
London, UK
AI Engineer | LLM Agents - RAG & Evals - Full Stack
5.0
Rating
19
Followers
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AI Engineer | LLM Agents - RAG & Evals - Full Stack
0
PulsePM: an AI project manager built into the workspace
0
1
1
DeepCoder Coding Assistant
1
5
0
Super Oga: a 3D platformer run through Lagos
0
2
0
Surgical Trainer 3D: a browser theatre for medical students
0
2
Fullstack Engineer
(2)
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UZO LAB
London, UK
Design studio merging tech expertise with creative flair.
10
Followers
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Design studio merging tech expertise with creative flair.
0
Meridian: Auction platform for Luxury Watches
0
37
0
Farrago: For the next-generation of arts, music & culture
0
19
26
For the #WebflowChallenge, I didn’t build a beautiful site. In fact, I built a fairly ugly one 😕 but that was intentional The goal wasn’t aesthetics, but disruption: subverting the judges expectations and pushing Webflow to its limits using the new code components (https://developers.webflow.com/code-components/introduction) from Webflow Conf 2025 (https://webflow.com/blog/webflow-conf-2025-keynote-recap) What started as tinkering became an MVP for something bigger: a complete paradigm shift in the way I think about Webflow... Introducing Flowcode - a developer-first framework for building full-stack production apps in Webflow. Links: 🛠️ The Framework (http://flowcode-v1.webflow.io)⚡ Features (https://flowcode-v1.webflow.io/features)🧪 Demo App (http://blogflow-v1.webflow.io)🔗 GitHub (https://github.com/pat-mw/flowcode)
5
26
468
0
Lexical Labs: Legal Tech Company
0
9
Fullstack Engineer
(2)
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IDOWU ELIJAH
London, UK
AI Product Engineer | Building Production Ready AI Apps
23
Followers
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AI Product Engineer | Building Production Ready AI Apps
0
The hardest part of AI-assisted development isn't generating code. It’s knowing when the code is wrong. I’m currently working on a poker-vision project where the system has to interpret what’s happening on the table — including card recognition, board ranks, hero cards, and positional coordinates. And this is exactly where AI-assisted development gets interesting. The agent can make a change. It can tell you the change looks correct. It can even run the code. But then you look at the actual result and realize: “Something is still wrong.” In this case, I was working through an OCR/ranking issue where the system was reading card information and producing an incorrect interpretation. So the workflow became: Inspect → Understand → Change → Run → Compare → Debug → Verify. Not: Prompt → Generate → Ship. That difference matters. AI coding agents are increasingly capable of working across repositories, editing multiple files, running tools and debugging issues. But current engineering discussions increasingly focus on the verification layer making sure generated changes actually produce the intended behavior. CodeRabbit (https://www.coderabbit.ai/guides/coding-agent-workflow?utm_source=chatgpt.com) For me, this is changing how I think about development. The value isn't just how quickly I can generate code. It’s how well I can understand the system, identify the real problem, direct the agent, and verify the final result. That's where engineering judgment still matters. And honestly, some of the best lessons come from the bugs that refuse to disappear after the first fix. 🔥 Developers using AI: what's one bug that looked “fixed” until you tested the actual behavior?
0
19
0
AI can build fast. But the developer still has to direct the build. Today I’m working on a multi-page portfolio website for a graphic designer. What makes this interesting isn’t just writing the pages. I’m using an AI coding agent to help work through the project creating files, structuring components, and making changes across the codebase. But I’m still responsible for the bigger picture: → Understanding the client's requirements → Deciding how the pages should be structured → Reviewing the generated code → Fixing errors and inconsistencies → Checking the actual user experience → Making sure everything works together And this is something I’m starting to appreciate more: AI makes coding faster, but it doesn't remove the need for engineering judgment. The goal isn't to generate as much code as possible. The goal is to turn an idea into a working product that actually makes sense. That’s the part I’m focused on with this build. Build with AI. Think like a developer. Verify everything. 🔥 What do you think developers should focus on most in the AI era writing code, reviewing code, or designing the system?
0
20
1
AI can write the code. But who checks the code? One thing I’m learning as a developer: Writing code is only half the job. You can use AI to generate a feature in minutes. But then comes the real work: → Does it actually work? → Does it break something else? → Is the data being saved correctly? → What happens with unexpected input? → Does the API return what we think it returns? → Can the user actually complete the workflow? That’s where debugging becomes more than just fixing red errors. It becomes understanding what the system is actually doing. I’m becoming more intentional about this in my own projects: Build → Test → Break → Investigate → Fix → Verify → Repeat. AI makes development faster. But I still believe the developer needs to understand why the code works—not just that the code exists. What do you think is harder: Building a feature from scratch, or debugging a feature that “looks like it should work”?
1
43
5
Everyone is talking about AI. Very few are actually building with it. The opportunity isn't in using AI once. It's in creating tools that solve real business problems every single day. The builders who start today will have the biggest advantage tomorrow. What are you building?
5
323
Fullstack Engineer
(8)
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