CodeBurn Traffic, SEO & Growth Analysis

codeburn.appVisualization ForecastingDomain 5 months 16 daysObserved Oct 12, 2026

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CodeBurn is a free, open-source, local-first tool that tracks AI coding token usage and cost across 40 tools and agents.

  • Traffic declining
SIGPIK VERDICT · Sep 2026

CodeBurn visits fell 8.6% in Sep, mostly lost from Referrals

In the same window, CodeBurn’s Sitemap added 31 pages, mostly under /docs. The timing overlaps — worth a closer look.

Reconstruct every step CodeBurn took →
Monthly visits
30K
↓ 8.6% · −2.8K MoM
Market rank
#20 / 57
0.2% of market traffic
Domain Rating
8
↑ 2 · vs last month
AI referrals
0
0% of traffic, early
01 · How the growth happened

CodeBurn Traffic Trend & Channel Attribution

Monthly visit estimates · 2026-05 — 2026-09 · DR 8, +2 MoM

010K20K30K40KMayJunJulAugSep

Sep 2026

30K↓ 8.6%

Where the new visits came from

Monthly visits split by channel share: CodeBurn lost 2.8K visits from Aug to Sep, with referrals contributing 38%.

Monthly breakdown
Monthly visits by channel (estimated)
ChannelJulAugSep
Total16.6K32.8K30K
Direct013.9K13.7K
Organic search010.4K11.1K
Referrals02.8K1.7K
Organic social02K1.7K
Email0877535
Display ads01K372
Paid search0334211
Paid social020588
Visit change by channel
ChannelChange barAug → SepChangeShare of changeCurrent share
Referrals−1.1K38%5.8% ↓2.8pp
Display ads−63122%1.2% ↓1.8pp
Email−34112%1.8% ↓0.9pp
5 other channels−441.6%89.6% ↑7.6pp
02 · What you can borrow

CodeBurn SEO Keywords, Sitemap Pages & AI Referrals

CodeBurn’s acquisition moves across pages, search terms and AI referrals, each with its data source.

Pages · daily Sitemap diff — 31 pages added in 37 days

Pages listed in the Sitemap grew 19.7% over 37 days, from 157 listed URLs to 188 listed URLs.

  • /docs+28
  • Other page paths+2
  • /agent+1

Borrow: Generate pages of this kind from data you already have (see /docs) to capture long-tail search.

Search · source keywords — Non-brand terms bring 0% of search traffic

Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.

Borrow: Search traffic is mostly branded, riding existing awareness; the non-brand needs it does not cover are open to you.

AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet

0 visits from AI assistants (previous month 0), 0% of all traffic.

Borrow: No need to follow yet; watch whether it scales next month.

03 · Full growth history

CodeBurn Promotion History, Backlinks & Launch Timeline

Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what CodeBurn did at each step, and gives you a sequence to follow.

  • Promotion timeline with original sources
  • Traffic before and after each channel
  • Exportable launch action list

Unlock CodeBurn’s promotion research & launch action pack

Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.

  1. CodeBurn's public Sitemap now lists 31 more URLs

    Observed · Sitemap
  2. Monthly visits 16.6K → 32.8K

    Observed · traffic data
  3. Monthly visits 11.1K → 16.6K

    Observed · traffic data
  4. Where it launched and who discussed it

    Product Hunt, Reddit, X, directories
  5. Which channels produced new backlinks

    Ordered by first seen
  6. A launch sequence you can follow

    Exportable action list
04 · Same-market benchmark

CodeBurn Competitors & Alternatives Traffic Benchmark

Sep 2026 · Visualization and forecasting

ProductMonthly visitsDRMoM
CodeBurnThis product30K8-8.6%
GensparkSame market11.1M79-2.9%
PolymerSame market19.5K64+17.8%
ForecastioSame market9.1K62-22.8%

Each product uses its latest observed month; different months are not a same-period ranking.

Know the next time CodeBurn ships pages in bulk

We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.

Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.