Product blog
Product blog
Product updates, field guides, and field notes—each with links to docs and the hub where relevant. High-level milestones also appear on the changelog.
Topic
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Field guide · Jun 13, 2026
Refreshing old content to keep (and regain) rankings
Why content decays, how to find the pages worth refreshing, what to change (and what to leave alone), and how to update a page without resetting the equity it has earned.
- Why rankings decay
- Find pages worth refreshing
- Update without losing equity
Novus Stream Solutions (hub)
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Field guide · Jun 13, 2026
Usage-based vs seat-based pricing for software
A grounded comparison of the two dominant software pricing models: how seat-based and usage-based pricing each work, what each does for revenue predictability and value alignment, the very different ways they expand and churn inside a customer, why the "right" answer depends on how your product creates value, and why many mature products end up combining the two rather than choosing one.
- Seats = predictable, usage = fair
- Price should track value
- Hybrid models are common
Novus Stream Solutions (hub)
- Read
Field guide · Jun 12, 2026
Amazon product photo requirements (2026): the complete spec, explained
The pure-white main image, the 85% fill rule, the resolution that unlocks zoom, and what belongs in your secondary slots — the whole Amazon photo spec without the guesswork.
- Pure-white (255,255,255) main image
- 85% frame fill + 1600px for zoom
- Main vs lifestyle slots explained
NSS Background Remover
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Field guide · Jun 12, 2026
PNG vs WebP vs AVIF for transparency: which should you export?
All three support transparency — the difference is file size, quality, and compatibility. A practical guide to choosing the right transparent format for each job.
- All three support alpha
- AVIF smallest, PNG most compatible
- Choose by destination
NSS Background Remover
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Field guide · Jun 12, 2026
How FAQ schema wins rich snippets (and how we rolled it out site-wide)
What FAQ schema is, the eligibility rules that decide whether it shows, how to find the right questions, and how we added FAQs and FAQPage JSON-LD across the whole site.
- FAQPage JSON-LD explained
- People Also Ask mining
- Site-wide rollout pattern
Novus Stream Solutions (hub)
- Read
Field guide · Jun 12, 2026
Getting indexed faster in Google Search Console
How crawling and indexing really work, submitting a sitemap, using URL inspection, fixing "Discovered – not indexed", and the realistic timelines to expect.
- How indexing works
- Fix Discovered – not indexed
- Realistic timelines
Novus Stream Solutions (hub)
- Read
Field guide · Jun 12, 2026
Best music-visualizer styles for each genre
Matching visualizer style to genre — energy, tempo, color, and motion — so the visuals feel like they belong to the track, with practical picks for each genre.
- Match energy & tempo to style
- Per-genre style picks
- Color & beat-sync tips
Novus Visualizers
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Field guide · Jun 12, 2026
Are AI photo editors safe? What to check before you upload
Where your photo actually goes in an AI editor, how to read the privacy policy, the on-device alternative, and a quick checklist before uploading anything personal.
- Where your photo goes
- Reading a privacy policy
- A pre-upload checklist
NSS Background Remover
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Field guide · Jun 12, 2026
The first 100 customers: traction without an ad budget
Why the first 100 customers are different, the zero-budget channels that actually work early, and a repeatable outreach loop that turns first buyers into referrers.
- Do unscalable things first
- Zero-budget channels that work
- Turn buyers into referrers
Novus Stream Solutions (hub)
- Read
Field guide · Jun 12, 2026
Model quantization: how big AI models shrink to run in a browser
A plain-English explanation of the technique that makes on-device AI possible: why a model’s size is the gatekeeper for running it in a browser, what a model actually is under the hood, how quantization stores its numbers in fewer bits for a roughly four-times reduction, why models tolerate the lost precision, what it costs in accuracy, and how it combines with distillation and pruning.
- A model is billions of numbers
- Fewer bits ≈ 4× smaller
- Tiny accuracy cost, huge size win
NSS Background Remover