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Typefully
@typefully
We're launching a Command Bar today with great commands and features.
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@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
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@heyeaslo
Reply with "Notion" to get early access to my new template.
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@kandros5591
Notion 🙏
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Marc Köhlbrugge@marckohlbrugge
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Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
We’ve tried many alternatives at @framer but nothing beats it. If you’re still tweeting from Twitter you’re wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully 😍
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
Luca Rossi ꩜@lucaronin
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor — unique and super useful 🙏
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
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I think this thread hook could be improved.
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Can website visitor identification tools really deliver? Or is this a new bubble?
If you're in the B2B GTM space, you’ve probably wondered the same.
This new technology is introducing new ways to approach outreach, ads and B2B data analysis.
But as more companies jump on this trend, the question remains: are these tools actually worth it?
Here’s what I’m noticing in this space:
→ New players launching almost every week, each claiming better accuracy or new targeting new geographies.
→ Public debates over which tool really delivers
→ Increasing debate around data privacy
So, which tools actually stand out?
Imran Patel recently shared benchmark data comparing the top players, and here’s what it showed:
🔹 Clearbit – 42% accuracy
🔹 Leadfeeder (Dealfront) – 42% accuracy
🔹 RB2B – 33% accuracy
🔹 Apollo.io – 30% accuracy
🔹 Snitcher – 20% accuracy
🔹 Albacross – 20% accuracy
🔹 People Data Labs – 14% accuracy
Even the best tools are a long way from perfect.
There’s a clear gap between identifying visitors and identifying them accurately.
But even with imperfect results, these tools are powering new, creative outbound and automation possibilities, becoming a GTM driver for many B2B companies.
↳ What's your take on these tools?
If you’re considering one of these solutions, check the link in the comments to see the benchmark and a tool to try these in real time.
This was my attempt... and big news, I now work in a VC???