https://modbot.sh/channels/icebreaker/join?c=18191B

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The biggest moats of social networks are the hidden subgraphs like “Close Friends” We are building tools to make this data portable and useful

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New profile chip treatment on Icebreaker went live this week that makes it waaay easier to quickly see key recommendations in the list as you scroll shown here @fffflood @alvesjtiago.eth

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Reindexing the hypernetwork to support new networks, recommendation based searches, and cross network rollups Some queries in icebreaker may return limited data for the next ~30 minutes

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Big milestone today. @j4ck.eth managed to export The Graph Which Binds 500k person social graph originating from 1 user. Works on any platform, open or closed. We’ve known it theoretically possible for a while but today was our first real-world application

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Just published a new post introducing a construct that we've been building for the last year at @icebreaker: The Hypernetwork It's a prerequisite to reestablishing digital trust and is only recently possible due to advances in zero knowledge and permissionless verifiable computing. https://paragraph.com/@icebreakerlabs/icebreaker-is-a-hypernetwork

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We launched the ability to “feather” (ie report as bot or malicious) arbitrary social profiles yesterday. So you can report a profile across LinkedIn, farcaster, telegram, X, etc and that report is interoperable with other reputation systems and onchain verifiable. Question we’re thinking about is whether to distinguish between flag types, or keep them all as one For example: - bot - scammer - liar - spammer Should they all be represented as a single “flag” or separate? Alternatively we could let users add context when flagging while keeping the flag monolithic. We’ve held off on negative endorsements for a while because they are tricky but have had multiple recent requests among customers to support

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Just another day at LinkedIn deleting peoples profiles, leaving people feel helpless in regards to having a professional identity and social graph online. Icebreaker to the rescue? https://www.linkedin.com/posts/claire-alvis_linkedin-accountdeletion-professionalsupport-activity-7359502637743906816-LnU1?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAoeEb8BFK797x9vm8ckH1TpZvqTMuSXo9U

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Spot on. World ID proves humanity. Icebreaker proves trust.

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Just added a handful of Deep Tech companies to Icebreaker for daily job indexing Curated by a founder friend who's in the space Will start showing at app.icebreaker.xyz/jobs tomorrow morning

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This happens more than you think. The “benign” version is people lying about their work history to get a job. Frequently scammers, criminal groups, and government affiliated IT workers or hackers

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"[Zuckerberg] also believes there is a flywheel effect to recruiting: By talking to the smartest person he can find, they will introduce him to the smartest people in their networks." something something your network is your net worth something something

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The issue is that so many connections on LinkedIn may be fake or just added bc they “know someone who knows someone who knows someone” vs I know I have waited and not added some folxs on @icebreaker since I would like to see them or have a convo outside of textual based places to know they are human verified. That’s why these type of TRUST networks are the ways of the future.

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Update! Mobile navigation now contains Jobs & Companies, and we are lining up backend stability improvements to make Icebreaker smoother than ever Who are you connecting with today?

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Identity and reputation should be interoperable and *yours*

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