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DevTerms.ai's answer:
Beginner programmers, designers, product managers and marketers who are interested in Technology
DevTerms.ai's answer:
Next.js, Tailwind, Supabase, Expo
DevTerms.ai's answer:
As a software engineer, Iโve always worked closely with cross-functional teams. I often noticed that designers and product managers felt left out during technical discussions. We engineers casually drop terms like โAPI,โ โCI/CD,โ or โmicro-services,โ expecting designers and product managers to follow along.
This often happened during the Tech presentations as well. Most non-technical people were genuinely interested in learning about the Tech features we are building but they get lost due to the tech terms thrown around during the presentation. There were multiple instances where I used to explain tech terms to my teammates while the presentation is going on. This disconnect was just frustrating for my non-technical colleagues.
DevTerms.ai was created to solve this problem. My goal is to build a minimalistic app where anyone โ whether youโre a designer, a product manager or even a beginner programmer, can quickly look up a term and get a simple, easy-to-understand explanation.
DevTerms.ai's answer:
DevTerms.ai focuses on being accessible to non-technical users aw well as a beginner programmer. Itโs perfect for designers, product managers, and even marketers who want to understand tech terms without diving into overly technical explanations.
DevTerms.ai's answer:
There are no direct competitors. Our app makes it easy to find devterms, eliminating the need to search on Google or ChatGPT.
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Based on our record, Bright Data seems to be more popular. It has been mentiond 45 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 3 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 3 months ago
Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 3 months ago
Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 5 months ago
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