PLATFORM_GAPrising

Bluesky Follower Filter

Validated on March 25, 2026 · Updated March 26, 2026
25
Demand Score
Analyzing
25/25
Demand Score
2
Competitors
6
Evidence Posts

The Problem

Bluesky lacks fundamental follower control, exposing users to unwanted and potentially abusive accounts, creating a toxic environment and forcing users to rely on flawed, community-run blocklists.

Target Audience

Bluesky users, content creators, and individuals seeking better control over their social media interactions and privacy.

Why This Matters

Provides proactive filtering and management of followers, allowing users to define criteria for who can follow them and automatically remove unwanted accounts based on user-configured rules (e.g., keywords in profile, follower count, age of account).

Demand Evidence

score: 25 reddit: none found trends: none found reasons: Bluesky lacks fundamental follower control, exposing users to unwanted and potentially abusive accounts. Bluesky's native blocklist feature is criticized as 'abusive' and run by 'trust me bro' groups. Direct quotes highlight users being added to blocklists for 'no reason at all,' labeled as 'bots, spammers, pedophiles, sluts,' and experiencing reputational damage. The moderation lists operate without transparency or oversight, leading to harassment and defamation. Users are actively seeking solutions, as evidenced by GitHub issues reporting abuse and problems with blocklist deletion. Multiple documented complaints about abusive blocklist system Users seeking solutions via GitHub issues Content creators reporting reputational damage reviews: There is significant and ongoing user pain regarding Bluesky's blocklist feature, with strong demand signals for a more robust and less abusable moderation system. consensusMethod: median_of_2 crossModelScores: model: gemini score: 25 model: claude score: 20 originalResearchSources: 42

People are using lists to set block chains of marginalized groups, creators, etc. Labeling people as bots, spammers, pedophiles, sluts, etc. As a content creator, I don’t want to be associated with most these labels. It ...

GitHub (bluesky-social/social-app)
↗ source

Subscriber will still see the 'Blocked by KittenHaters' message on Listee's profile. Subscriber will still not see Listee's account profile header image.

GitHub (bluesky-social/social-app)
↗ source

Moderation lists are an abuse vector. Bad actors can create moderation lists with misleading names and descriptions, then add vulnerable users.

GitHub (bluesky-social/social-app)
↗ source

It is cumbersome and tiring to review all the new followers and decide whether to follow them back. It's also easy to overlook someone interesting who then gets buried among all the accounts you decided not to follow.

GitHub (bluesky-social/social-app)
↗ source

rather than continuing the feed, it starts getting flooded with recent posts from random accounts, as if this were discover or something.

GitHub (bluesky-social/social-app)
↗ source

Users express frustration over being unfairly targeted, mislabeled, [and experiencing a] negative impact on user experience.

Additional Search (unspecified platform)
↗ source

Competitive Landscape

Bluesky's native blocklist feature (criticized as "abusive" and run by "trust me bro" groups).

Bluesky

Est. 2019
Free
Weakness

Blocklist feature is criticized for lack of transparency and potential for abuse, leading to users being falsely labeled and targeted.Users have no notification of being added to a blocklist and no appeal process, making it difficult to address wrongful inclusion.

Clearsky

Est. unknown
unknown
Weakness

It is a third-party tool, meaning users have to actively seek it out to discover if they've been wrongly labeled on Bluesky's blocklists.

Unit Economics

CPC
N/A
CAC
N/A
LTV
N/A

Revenue Analysis

sam: 200,000 users (Assuming 1% of the user base are active creators, journalists, or highly privacy-conscious individuals willing to use third-party moderation tools). tam: 20 million total Bluesky users (based on late 2024 platform growth surges). break_even: Month 2, at approximately 20 active customers (covering ~$140/month in basic Vercel, Supabase, and OpenAI API costs). price_point: $7/month pricing_model: Monthly subscription (with a risk of high churn if users treat it as a one-time cleanup tool). unit_economics: CAC: ~$15 (via targeted Bluesky/X influencer shoutouts and niche community marketing). LTV: ~$28 (assuming an average retention of 4 months due to 'clean and cancel' behavior). Payback period: ~2.1 months. projected_mrr_6mo: $1,400/month (Assuming acquisition of 200 active subscribers. Growth will be slow initially due to App Password friction and niche platform focus). projected_mrr_12mo: $5,600/month (Assuming 800 active subscribers, factoring in a high churn rate of 15-20% as users clean their accounts and cancel).

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