Summary of results from this spreadsheet

 

 

 

 

Companies using crowdsourcing for business to Business Software as a Service (B2B SaaS), nearly an exhaustive list, N=35

Median Annual revenue N=26, ~$24M
Median time to exit, years, excluding CME Group, Amazon N=5.9 years.
Total exits N=8 ~23%
Nine that haven't exited are equal to or older than the median exit, ~ 33% of the 27 that haven't exited. 

However, three of these older ones are good candidates for exits, see revenues.

None of these companies carry outside advertising. This supports the contention that Your Todays, Your Tomorrows can profitably refuse such revenue, especially given its corrupting, or appearance of corrupting influence. This would be another unique feature of our planned curated news output, as nearly all of todays paid subscription news media carry advertising.

Now defunct and with no history on Crunchbase: Only two as found in a dataset compiled by Carolyn Meinel dating from 2015. A Crunchbase search for companies combining crowdsourcing, B2B and SaaS only revealed 6, and only one of those (Boost Media) had a forecasting aspect. This suggests that this spreadsheet may be a nearly exhaustive listing of such companies

According to Crunchbase, 1,254 crowdsourced companies of all sorts exist in their database. Out of the top 1,000 of these, 285 are listed as "less than $1M"; 272 as "$1M to $10M"; 41 as "$10M to $50M"; and just 4 "over $50M." 89 out of 1000 had achieved exits.

 

This data supports our conclusion that companies using crowdsourcing for B2B SaaS have a far better chance than most crowdsourcing ventures of achieving profitable exits for their investors.

 

 

 




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    August 2021: ISIT's Dawna Coutant and BestWorld's Carolyn Meinel had been combating COVID-19 as participants in IARPA's FOCUS program. We did better than the big modeling teams for the first six months of the pandemic. Then we were about even with the models until Delta arrived. Wow, what a surprise this was to ussss two along with most of our fellow forecasters. See what we had forecasted for 2021 as of August 8, 2020 at Covid_forecasts_2021.html

     

    May 2020: ISIT's Carolyn Meinel explains how she used Natural Language Processing to forecast geopolitical questions in a webinar hosted by Basis Technology: Mirror, Mirror on the Wall -- which Country Will Rule them All?

     

    January 2020: The team of ISIT and KaDSci, LLC came in 4th place in IARPA's Geopolitical Forecasting Competition out of over 100 initial competitors by forecasting 305 questions within just 5 1/2 months: Details here.

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