StickerBaker is an open-source AI tool that allows users to create custom stickers from text prompts or by uploading images. It leverages AI models for generating unique sticker designs.
Image Generation & Editingstickerbaker.comTracked since 2026-08-211 discovery source
3.3KBacklinks
306Referring domains
24Domain authority
+4.7%Referring domains · 90 days
Authority & distribution
How strong is StickerBaker’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
3.3KCurrent snapshot
Referring domains
306Current snapshot
Authority
24Domain authority · category median 22
90-day move
+4.7%Referring domains, last 90 days
At 24, StickerBaker sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“StickerBaker”
StickerBaker is an open-source AI tool that allows users to create custom stickers from text prompts or by uploading images. It leverages AI models for generating unique sticker designs.
Image Generation & EditingSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://stickerbaker.com
Observed across 1 discovery source.
Research questions
What the evidence answers about StickerBaker.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does StickerBaker do and what problem does it solve?
StickerBaker is an open-source AI tool that allows users to create custom stickers from text prompts or by uploading images. It solves the problem of generating unique, personalized sticker designs without needing traditional design skills, leveraging AI models for the creation process.
What features, surfaces, or integrations does StickerBaker offer?
StickerBaker offers the ability to create stickers from text prompts and by uploading images. It is an open-source tool and is powered by the fofr/sticker-maker model on Replicate, meaning it can also be run via an API.
What is StickerBaker used for and in what situations?
StickerBaker is used for generating unique sticker designs from text descriptions or existing images. The homepage showcases examples ranging from creating anime characters and portraits of people to generating designs for objects, scenes, and in various artistic styles.
Who is StickerBaker designed for?
StickerBaker is designed for users who want to create custom stickers. Based on its tags and product description, it targets individuals, developers, and digital marketers interested in AI-powered image generation and custom sticker creation.
What is StickerBaker?
StickerBaker is an open-source AI tool for creating custom stickers from text prompts or uploaded images. It is categorized under Image Generation & Editing and leverages AI models to generate unique sticker designs.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full StickerBaker intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured