LinkedIn Reviews

1. AnnaBenjamin

   6 months ago
   Essential Professional Network — Valuable but Sometimes Noisy

   I use LinkedIn almost every day for career networking, following industry news, and job hunting, and overall it’s been very useful. It’s the go-to place to connect with colleagues, recruiters, and professionals in your field — and I’ve gotten valuable opportunities just from profile visibility and posts.

   The job search tools are solid, with alerts and recommended roles based on your profile. It’s also handy for building your personal brand by sharing content or engaging with discussions in your industry.

   That said, LinkedIn’s feed can sometimes feel noisy with overly promotional posts, irrelevant updates, or recruiters spamming every connection. And while the Premium subscription adds features like InMail and deeper insights, it feels pricey if you’re only occasionally job hunting.

   Overall, LinkedIn is a powerful professional platform that delivers real value, but it’s not perfect

   🏁 Competitors: indeed

   👍 Pros:    Excellent networking and career-building platform.

   👎 Cons:    Feeds can get cluttered with irrelevant posts or spam.
2. Bozidar

   over 3 years ago

   Great website for professional network, started using it recently and already found some business partners and a couple of job opportunities.

   👍 Pros:    Networking

CodeForces Reviews

LinkedIn mentions (126)

• GitHub Profile README Generator — Free Tool, 3 Templates, 10 Seconds

  If you have ideas, DM me on LinkedIn or open an issue on GitHub. - Source: dev.to / about 1 month ago

• Stealth Browser: How AI Agents Bypass Bot Detection

  Bridge_cdp_connect(port=9222) Bridge_cdp_navigate(url='https://linkedin.com') # Full access to logged-in sessions. - Source: dev.to / 4 months ago

• End-to-End Automation with Terraform: A DevOps Engineer’s Guide to Infrastructure as Code

  Have questions or want to share how you’re using Terraform in your environment? Drop a comment, connect with me on LinkedIn, or explore my GitHub for reusable Terraform modules. - Source: dev.to / 11 months ago

• Best Practices for Hiring Top Talent in 2025

  Job Portals: Platforms like LinkedIn, Indeed, and Glassdoor provide access to a vast talent pool. Referral Programs: Encourage employees to refer qualified candidates in exchange for incentives. Industry Events and Conferences: Networking at relevant events helps connect with potential hires. University Partnerships: Collaborate with educational institutions to attract early-career professionals. - Source: dev.to / over 1 year ago

• Ask HN: Freelancer? Seeking freelancer? (November 2024)

  SEEKING WORK | USA | Remote Web Developer + Graphic Designer I am a graphic designer and web developer who creates websites, brand identities and marketing material for a variety of companies including startups, agencies and non-profit organizations. In addition to my design skills, I am also a full-stack web developer. DESIGN: websites, mobile apps, logos, banner ads, marketing material, advertising, billboards,... - Source: Hacker News / over 1 year ago

CodeForces mentions (82)

• From Campus to Big Tech: The Unfiltered, Deep-Dive Playbook for Indian CS Students to Crack FAANG+ (2026 Edition)

  Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are tools—but what matters is how you use them. - Source: dev.to / 3 months ago

• Ask HN: What Happened to Coding Competions?

  Most people who do competitive programming have moved to: . - Source: Hacker News / 7 months ago

• My First Steps in Competitive Programming

  At first, the problems on platforms like Codeforces felt overwhelming. But after a few rounds, I realized something important:. - Source: dev.to / 10 months ago

• Why Codeforces is Great for Programmers

  Check it out and start competing today: https://codeforces.com/. - Source: dev.to / 10 months ago

• Self-Training Boosts Code Generation: RewardRanker Outperforms GPT-3.5 & Rivals GPT-4

  The researchers created their dataset from CodeContests and public Codeforces solutions, enriched with metadata. For supervised fine-tuning, they structured the data as prompt-completion pairs, using problem statements as prompts and solutions as completions. The balanced dataset contained 1.2 million samples, each averaging 1,500 tokens. - Source: dev.to / over 1 year ago