Sedat Dogan
Technical focus
Sedat is a daily user of the products that he technically reviews. As part of his role at AIMultiple, he oversees the collection of numerous public data points on more than 80,000 B2B technology vendors using proxy, web scraping and web unblocker solutions from multiple providers.Sedat is also the technical lead for running AIMultiple proxy and web unblocker benchmarks that measures the performance of top web data infrastructure providers annually.
In addition, he designs and conducts AI benchmarks to evaluate the efficiency, scalability, and accuracy of leading artificial intelligence solutions.
Professional experience
Currently, Sedat is the CTO at AIMultiple.He is also a board advisor at
- a VC investing in early-stage technology firms
- Ödeal, a regional digital payment platform serving 125,000 merchants with its POS solutions.
Previously, he worked as
- CTO at Bionluk, an online marketplace for freelancers
- CTO at Expertera, a global expertise platform
- CEO of a cybersecurity services provider
- CTO and co-founder at a social network
He has 20 years of experience as a white-hat hacker and development guru focused on programming languages and server architectures.
He directed and secured the technological infrastructure and cybersecurity operations of the last seven national elections in his country.
He has also been recognized in the cybersecurity Hall of Fame by global technology leaders including Twitter.
Education
Sedat holds dual bachelor's degrees in engineering from Yıldız Teknik Üniversitesi.Latest Articles from Sedat
AI Coding Benchmark: Claude Code vs Cursor
In AI coding, the market has fragmented into two categories: Agentic CLI tools and AI code editors embedded in IDEs. Each claims to automate development. Few comparisons show how they differ under identical workloads.
Benchmarked the 6 Best Web Scraping APIs
We benchmarked the best web scraper API services using 12,500 requests across various domains. This web crawling services comparison goes beyond marketing claims to reveal real-time performance in e-commerce (Amazon, Target), search engines (SERP), and social media. If you are looking for the fastest latency or an affordable scraping API, our data-driven analysis below will guide your choice.
Best Facebook Scrapers: Apify, Bright Data & Decodo
Using Python and a managed Facebook scraping API lets you collect public posts, comments, likes, and shares. This tutorial demonstrates how to scrape Facebook posts by keyword and retrieve their URLs via Google search.
MySQL Monitoring: SolarWinds vs New Relic vs Datadog
We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: Ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads.
Best TikTok Scraping Tools in 2026 (Python Guide)
In 2026, TikTok moved its U.S. operations to the TikTok USDS Joint Venture, managed by Oracle. This changed how the platform handles data and anti-bot measures. To understand how well different tools handle TikTok data, we tested the leading TikTok scrapers by running 500 unique TikTok videos per provider.
MFT Benchmark: Files.com, Thru, Cerberus FTP, and Serv-U Tested
We tested four managed file transfer platforms: Files.com, Thru, Cerberus FTP Server, and Serv-U MFT Server, working through setup, file transfer workflows, inbound collection, security configuration, automation, and administration. Every observation below comes from hands-on use of trial accounts or installed software.
GPU Concurrency Benchmark: H100 vs H200 vs B200 vs MI300X
I have spent the last 20 years focusing on system-level computational performance optimization. We benchmarked the latest NVIDIA GPUs, including the NVIDIA’s H100, H200, and B200, and AMD’s MI300X, for concurrency scaling analysis. Using the vLLM framework with the gpt-oss-20b model, we tested how these GPUs handle concurrent requests, from 1 to 512.
Multi-GPU Benchmark: B200 vs H200 vs H100 vs MI300X
For over two decades, optimizing compute performance has been a cornerstone of my work. We benchmarked NVIDIA’s B200, H200, H100, and AMD’s MI300X to assess how well they scale for Large Language Model (LLM) inference. Using the vLLM framework with the meta-llama/Llama-3.1-8B-Instruct model, we ran tests on 1, 2, 4, and 8 GPUs.
Screenshot to Code: Lovable vs v0 vs Bolt
During my 20 years as a software developer, I led many front-end teams in developing pages based on designs that were inspired by screenshots. Designs can be transferred to code using AI tools.
S3 Compatible Cloud Object Storage Benchmark
I have been using Amazon S3 for over a decade. I benchmarked leading S3-compatible object storage providers across nine criteria: ease of migration, data transfer fees, storage costs, retrieval times, mountability, static web hosting, and more. AWS dominates the public cloud market, and S3 is its most widely used storage service.
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