Mohar Bar

Without data, you’re just another person with an opinion.

[Mohar Bar @MoharBar]

@oleksandrsturov Just LinkedIn?

[Mohar Bar @MoharBar]

@innermaps @Jasperli0122 For Reddit, try XPOZ.

[Mohar Bar @MoharBar]

@bounceidc Nice framework. I'd split "data" into two layers: web data and social data. They're very different problems. We built XPOZ because general web search doesn't solve structured social data.

[Mohar Bar @MoharBar]

@dawn_jonat81671 @HelloVyom @thatssovaibhav Try https://t.co/bsXnKBe6om - good prices and free tier.

[Mohar Bar @MoharBar]

@harsh_5harma https://t.co/bsXnKBe6om :)

[Mohar Bar @MoharBar]

@itsolelehmann Great list. One workflow we've seen becoming increasingly important is combining X with other social platforms. Many signals start on X, but the broader conversation often continues on Reddit, Instagram, or TikTok. Looking at a single platform can easily miss the full picture.

[Mohar Bar @MoharBar]

@mxfp4 Curious what you're using for Reddit/X data. We've found it makes outreach a lot more relevant.

[Mohar Bar @MoharBar]

@PietroMontaldo REPLAY. Curious to see how you connected the different data sources.

[Mohar Bar @MoharBar]

I think we're heading toward a world where agents won't rely on a single data source. An enterprise agent might combine CRM data, company databases, financial data, and social data in the same workflow. The bottleneck isn't reasoning anymore - it's giving agents access to the right proprietary data at the right time.

[Mohar Bar @MoharBar]

@manthanm30 Interesting approach. We've found that some of the strongest early signals about startups show up in social conversations months before they appear in structured datasets.

[Mohar Bar @MoharBar]

@codyschneider This is exactly why social data is such a powerful input for marketing workflows. The market changes faster than most dashboards do.

[Mohar Bar @MoharBar]

@raphaelsalaja Looks interesting. Honestly, my first thought was less about bookmarking and more about how you're managing the underlying data layer across all those platforms. That's usually the hardest part.

[Mohar Bar @MoharBar]

I think the biggest shift is that AI visibility is becoming an outcome, not a channel. A few years ago, you could improve rankings by optimizing your own assets. Today, a lot of the inputs that shape AI recommendations live in places you don't control - Reddit, communities, reviews, discussions, etc. That makes monitoring and participating in those conversations much more important than tracking a visibility score after the fact.

[Ran @RXP1554431]

Trust is built through transparency.

At @XPOZAI , we've launched a status page that provides visibility into the health and availability of the social data we deliver.

X, Instagram, Reddit, and TikTok - each data source is monitored independently, with real-time status indicators and availability history.

When teams rely on data to make decisions, they deserve visibility into the reliability of the data behind those decisions

For us, reliability isn't just an engineering metric. It's part of the product experience.

Should data providers expose source health and availability to customers?

#Xpoz #DataQuality #SocialIntelligence #DataReliability

[Mohar Bar @MoharBar]

@rentierdigital The real unlock is knowing when not to scrape. For social data, having it pre-indexed behind MCP saves a surprising amount of engineering time.

[Mohar Bar @MoharBar]

@assetfeel How much of the score comes from Twitter vs other social sources?

[Mohar Bar @MoharBar]

הכי ��וב שהיה פה! 🤣

[Shira Shamban @ShambanIT]

סידרתי הכל להיום, אין תירוצים!

[Mohar Bar @MoharBar]

@MitchellKeller_ Nice!

[Mohar Bar @MoharBar]

@Fazaler34816788 @firecrawl Out of curiosity, what kind of research workflows are you using Firecrawl for?

[Mohar Bar @MoharBar]

@FurqaanRashid The next step is probably identifying buying intent before the conversation even starts. That's where social signals become really interesting :)