
AI Usage at a Glance
Jan 1, 2024
ModerationPractice documented: Dribbble uses a community guideline that prohibits sharing content that is wholly generated by AI, and recommends that designers acknowledge AI assistance in shot descriptions when AI is used as a creative aid.
Practice DocumentedView practice →Jan 1, 2024
OtherPractice documented: Dribbble uses personal data — including usage behavior, location, and inferred interests — to personalize a user's experience of its services and to provide targeted advertising.
Practice DocumentedView practice →Jul 15, 2024
RecommendationPractice documented: Dribbble deployed updated ranking algorithms for its Shot Search and Designer Search features, which score and order results based on engagement signals, designer responsiveness, transaction history, and other behavioral data.
Practice DocumentedView practice →Aug 7, 2024
ModerationNew evidence: Work In Progress, Part 3 🚧 | Dribbble Design Blog
Evidence AddedView practice →Oct 9, 2024
RecommendationNew evidence: Work In Progress, Part 5 🚧 | Dribbble Design Blog
Evidence AddedView practice →Mar 4, 2025
RecommendationNew evidence: Work In Progress, Part 8 🚧 | Dribbble Design Blog
Evidence AddedView practice →Jun 25, 2025
ProductivityPractice documented: Dribbble offers a 'Write with AI' feature that helps clients compose project requests to designers by either improving text they have already written or generating a full request from answers to a few brief questions.
Practice DocumentedView practice →Jul 29, 2025
RecommendationPractice documented: Dribbble deployed a Recommendations feature that automatically suggests additional designers to clients after they contact one designer, matching candidates based on the content of the client's project request, ratings, budget fit, and availability.
Practice DocumentedView practice →Jul 29, 2025
ProductivityNew evidence: Work In Progress, Part 12 🚧 | Dribbble Design Blog
Evidence AddedView practice →Jul 29, 2025
ProductivityPractice documented: Dribbble offers a 'Write with AI' feature that helps designers generate project proposals in response to client requests, either by improving text the designer has already written or by synthesizing answers to a few questions into a full proposal.
Practice DocumentedView practice →Sep 9, 2025
RecommendationNew evidence: Work In Progress, Part 13 🚧 | Dribbble Design Blog
Evidence AddedView practice →Sep 9, 2025
ProductivityNew evidence: Work In Progress, Part 13 🚧 | Dribbble Design Blog
Evidence AddedView practice →Dec 17, 2025
RecommendationNew evidence: Work In Progress, Part 14 🚧 | Dribbble Design Blog
Evidence AddedView practice →Dribbble deployed a Recommendations feature that automatically suggests additional designers to clients after they contact one designer, matching candidates based on the content of the client's project request, ratings, budget fit, and availability.
Launched in July 2025 and expanded in September 2025, the Recommendations feature analyzes the text of a client's project request and surfaces additional designers who are relevant to the project, highly rated, within the client's budget, and currently available. Initially showing three additional designers, the feature was expanded to six by September 2025. Only Pro-tier designers are included in recommendations. A related feature called InstantMatch, launched in September 2025, allows clients to describe their project needs and receive an immediate curated list of matched designers, ranked by responsiveness, ratings, past projects on Dribbble, and lead conversion rate.
Dribbble deployed a Recommendations feature that automatically suggests additional designers to clients after they contact one designer, matching candidates based on the content of the client's project request, ratings, budget fit, and availability.
Dribbble deployed updated ranking algorithms for its Shot Search and Designer Search features, which score and order results based on engagement signals, designer responsiveness, transaction history, and other behavioral data.
Dribbble offers a 'Write with AI' feature that helps clients compose project requests to designers by either improving text they have already written or generating a full request from answers to a few brief questions.
Dribbble offers a 'Write with AI' feature that helps designers generate project proposals in response to client requests, either by improving text the designer has already written or by synthesizing answers to a few questions into a full proposal.
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Dribbble offers a 'Write with AI' feature that helps clients compose project requests to designers by either improving text they have already written or generating a full request from answers to a few brief questions.
Launched in June 2025, 'Write with AI' provides two paths for clients composing a Project Request: 'Improve What I Wrote,' which takes a client's existing text as input and produces a refined version, and 'Help Me Start,' which takes responses to brief questions as input and generates a complete project request. According to Dribbble's June 2025 blog post, within about 1.5 weeks of launch, 19% of clients used the feature to send at least one Project Request, and clients sending their first-ever request were twice as likely to use it. AI-generated project requests are noted to automatically comply with Dribbble's Terms of Service, reducing moderation time.
Dribbble deployed updated ranking algorithms for its Shot Search and Designer Search features, which score and order results based on engagement signals, designer responsiveness, transaction history, and other behavioral data.
Beginning in mid-2024, Dribbble developed and A/B tested a new search ranking algorithm for Shot Search — the primary way users find design content on the platform (accounting for over 80% of content seen by users, per Dribbble's July 2024 blog). The Designer Search ranking algorithm was separately updated in October 2024 to factor in project request response rate, response time, completed projects, and client ratings. By early 2025, Dribbble further updated the ranking to incorporate lead conversion rate as a signal. The company described these as iterative, continuously tested algorithms rather than a one-time deployment.