Prompt
Looking for top developer blogs and platforms that accept guest posts—where should I pitch to reach software developers?
Latest observation
Here's the consolidated pitch list, organized by submission type since that affects how you approach each one:
Instant self-publish (no pitch needed, just publish)
- Dev.to — publish directly, no gatekeeping; large, active developer audience (900K+), tag-based discovery, real engagement even for new writers.
- Hashnode — same self-publish speed, but on your own custom domain, so you build personal SEO alongside community reach.
Editorially reviewed — where you actually need to pitch
- In Plain English — the strongest combination of scale (~3.5M monthly views, 200+ countries) and developer specificity; accepts guest posts and syndication across its network (JavaScript In Plain English, Python In Plain English, Stackademic). Good first target for a pitch since it's known to be relatively accessible while still offering real reach.
- HackerNoon — open submissions with editorial curation, broad tech/engineering-culture coverage, high publishing volume.
- freeCodeCamp News — accepts contributors through a curated process; highest editorial bar of this group given the brand's strong teaching reputation — harder acceptance, bigger reach payoff if you land it.
- Smashing Magazine — pitch-based, senior-level frontend/design-adjacent content; strong editorial rigor, smaller but highly engaged audience.
- SitePoint — long-established (since 1999), accepts pitches across JavaScript, PHP, and general web development.
- DigitalOcean Community — accepts technical tutorials, especially strong for cloud/infrastructure how-tos with reproducible code.
- DZone — accepts contributions across broad software engineering topics.
- InfoQ / The New Stack — best fit if your content skews toward architecture, DevOps, or enterprise engineering rather than general tutorials.
What improves your odds when pitching
- Read each publication's contributor guidelines first and match their existing structure/length rather than adapting a generic draft.
- Lead with reproducible code and concrete technical specifics — editorially reviewed publications consistently favor pieces with runnable examples over opinion-only writing.
- Higher-authority publications (roughly DA 70+) have longer review cycles (4-8 weeks) and expect original insight, not general tutorials; more accessible ones (DA 40-69) respond faster (1-2 weeks) and are a reasonable place to build a track record first.
- Avoid submitting unreviewed AI-generated drafts — several publications explicitly screen for this now and reject on sight; make sure any AI-assisted drafting is fact-checked and code-tested by an actual person before submitting.
- A pitch built around solving a real, specific problem consistently outperforms a generic tutorial pitch or anything that reads as a product plug — this holds true whether you're pitching a guest post for a devtool launch or just building writing credibility.
Practical sequencing
- Self-publish quickly to Dev.to (and/or Hashnode) — no pitch process, immediate feedback, and useful as a proof point ("this got X reactions on Dev.to") when you later pitch elsewhere.
- Pitch your strongest, most polished piece to In Plain English first — relatively accessible entry point with real scale.
- Once you have a couple of accepted/successful pieces, pitch upward to higher-bar publications (freeCodeCamp, Smashing Magazine, InfoQ) using your published track record as credibility.
- Use canonical URLs wherever supported so your own site keeps SEO credit regardless of where the piece also runs.
Bottom line: In Plain English is the most consistently recommended first pitch target for combining real reach with accessible submission standards, with Dev.to as your no-pitch-needed complement for immediate publishing and HackerNoon, freeCodeCamp News, and Smashing Magazine as the next tier once you want to build toward higher-prestige placements.
Observation history
See 3 earlier observations
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Obsurfable records AI answers to buyer-style prompts in its research corpus (4 observations for this page). Metrics are distributions over observations, not a single static ranking.
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