Case study · Community for women founders · Silicon Valley
FemSFOne platform replaced four for 357 Silicon Valley women founders and cut application review from 15 minutes to 1
Sisters by FemSF is a members-only community for women building early-stage companies. As fractional CTO I helped build its platform: the website, the member area, the admin panel, LinkedIn-style messaging and automatic pre-screening, with personal data protected throughout. More than 1,000 applications have been pre-screened automatically, and reviewing one now takes the team 1 minute instead of 15. Members find everything in one place, and the community spends nothing on hosting, because I sponsor it and run the platform on my servers.
- Client
- FemSF, the Sisters community
- Members
- 357 women founders
- Applications
- 1,000+ pre-screened, 1 minute to review each instead of 15
- Where
- Silicon Valley, San Francisco
- My role
- Fractional CTO and sponsor
- Hosting
- On my servers, at no cost to the community
- Website
- femsf.com

In numbers
- minutes to review an application, with the screening already done
- 15 → 1
- applications pre-screened automatically before a person reads them
- 1,000+
- women founders on one platform, with their personal data protected
- 357
- to apply, so strong founders are not lost to a long form
- 2 min
- site, member area, admin panel and messaging run as one system
- 4 in 1
The community
Everything an early-stage founder needs, in one members-only place. The pictures are from femsf.com.
The starting point
Sisters is a members-only community in Silicon Valley for women building early-stage companies. Members get free workshops, warm intros to investors, advisors, honest feedback and a founder playbook.
A community like that holds the personal data of hundreds of founders and is careful about who gets in. It needed a platform of its own, built to protect that data, somewhere to run it, and a technical lead it could trust with both. Off-the-shelf community tools rarely give all of that at once.
What we did
One system where communities usually stitch tools together
As fractional CTO I helped the community's team build the whole system: the public website, the member area, the admin panel and messaging. Communities like this one usually patch together a site builder, a forum and a mailing tool; Sisters runs on one platform it controls.
Two-minute applications, reviewed in 1 minute instead of 15
Applying takes two minutes, so strong founders are not lost to a long form. Every application is pre-screened automatically, more than 1,000 so far, and then a person reads each one every Monday with the screening already done, which cut the review of one application from 15 minutes to 1.
Members help each other without leaving the platform
Members start topics, answer each other from their own experience, and message any member directly to ask for help or to offer it, LinkedIn-style, inside the community's own walls.
Founders' data kept in one protected place
Founders' profiles and messages are personal data, and the system is built to protect them, so member data does not sit scattered across outside tools.
Hosting at no cost to the community
I am also a sponsor of the community: it runs on my servers and I provide the hosting, so its budget goes to founders instead of infrastructure.
One member area for everything, so members keep coming back
Workshops, events, warm intros to investors, advisors and the Founder Playbook all live in the same member area, so a member finds everything in one place instead of chasing links.
The result
357 women founders share one members-only community on a platform built for it. More than 1,000 applications have been pre-screened automatically, a person now reviews each in 1 minute instead of 15, and hosting costs the community nothing, because I sponsor it.
Full case · PDF
FemSF
One platform replaced four for 357 Silicon Valley women founders and cut application review from 15 minutes to 1
- 01The architecture of the platform
- 02How automatic pre-screening saves the review team time
- 03Protecting members' personal data
- 04Messaging between members
- 05The admin panel
- 06The hosting setup I provide as sponsor
The full FemSF case
The public story stops here. The PDF has the rest: the architecture before and after, the migration plan, how the team works with AI agents, what it all costs to run and where the savings came from.
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