
Hosted by Connie Loizos & Alex Gove
Each week TechCrunch Editor-in-Chief Connie Loizos, and Alex Gove, a former journalist, VC and operating exec who today runs StrictlyVC, interview a mover and shaker in the world of tech
232 episodes · publishes weekly · latest 2026-06-30 · ~30 min/episode
Rank
#42
Substance
86.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#42 of 6183
Substance
Top 1%
outscores 99% of the index
StrictlyVC Download ranks #42 on The B2B Podcast Index with a substance score of 86.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and specificity & evidence. Parker Conrad is a repeat founder running a $16.8B company with over $1B ARR at ~80% YoY growth and 5,000+ employees; he speaks directly from operational experience with the product he built, not from a thought-leadership perch.
Averaged across 1 recently scored episode, with cited evidence.
The episode contains several genuinely useful, practitioner-level ideas - particularly the personal vs. organisational AI productivity distinction and the R&D spend comparison with Paylocity/Paycom - but large stretches on fundraising philosophy and the Deel spat add limited learning value for a B2B operator.
“there's like personal productivity and there's like organizational productivity and the two things are not the same”
“there were employees that were doing things like, oh man, like, Claude is so helpful for me...that person was spending like at a run rate of $30,000 a year for this”
There are a handful of fresh framings - the 'data through a straw' critique of MCP-based AI and the 'retirement community' characterisation of public markets - but most of the episode is product description and standard founder fundraising wisdom recycled from many prior interviews.
“public markets have sort of become this retirement community for slow growth companies”
“there's no data stack underneath Anthropic. And so they're constantly sipping data through a straw via like MCP connections”
Parker Conrad is a repeat founder running a $16.8B company with over $1B ARR at ~80% YoY growth and 5,000+ employees; he speaks directly from operational experience with the product he built, not from a thought-leadership perch.
“we had crossed a billion in revenue, and we were growing at just under 80% year over year”
“in the first month we started selling it the last like 10 days of April, we added about 2 million of new revenue”
The episode is notably data-rich: real revenue ramp figures by month, named competitor R&D percentages, a specific $20/month SKU price, 560 customers, a 500-second prompt runtime, and named technology comparables (Fivetran, Snowflake, dbt, Tableau) all anchor the claims concretely.
“in May we added a little over 5 million in revenue. And in June, so far we're at 2...we actually expect June will close 6 or 7 million”
“spend about, you know, 8 or 9% of their revenue on R and D and Ripple, and spends like 45 to 50”
The hosts show genuine preparation - invoking the SVB episode, flagging the Workday comparison, and extracting the Claude-to-OpenAI switch - but they repeatedly let important threads drop (only 560 of 'tens of thousands' customers using the product, margins deflected entirely) and the Deel and 'fast follow' segments drift without sharp follow-up.
“Why is that?”
“I guess one obvious question is whether that revenue is costing you money at this point”
First period on the Index - history builds from here.
1 scored on substance · 60 tracked in total.
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