Profitable SaaS Idea Generation & Enterprise Workflow Rebuild Formula

Start with a small, high-value use case that aggregates power users before expanding.

Build a beautiful map of all side-events at conferences (replacing the manual spreadsheet) and layer on social features like attendee directories and chat.

Why: Conference attendees are the power users of professional networking; once aggregated you can upsell ads, premium features, and eventually compete with Cvent.

"you carve off a section of it, of like, power users of some sort, some niche, and you build better features for them"

A wedge must sit under an existing, large, slow incumbent.

Cvent is a $4.5 B public company offering white-label event apps; the wedge app can out-design and out-experience them.

Why: Legacy players stop innovating on UX and speed, creating predictable openings every 5-10 years.

"Cvent, by the way, like, you know, you'll go to their website... it's not like the designers of Snapchat went and designed Cvent"

Expense budgets are easier to tap than personal wallets.

Conference-goers already have $2-3 k annual learning budgets; gate AI concierge or networking features at $50-250 per event.

Why: Corporate L&D spend is pre-approved and large, reducing sales friction and increasing willingness to pay.

"people can expense it in their learning and development budget... you could charge 50 bucks a month or something like that"

Productize the thousand-year-old role of community matchmakers.

Give Jewish, Indian, rock-climbing, sobriety, or Twitter-community matchmakers a SaaS dashboard to manage pools, matches, and payments.

Why: Dating apps ignore the trusted third-party introducer; matchmakers already have demand and can charge subscription or success fees.

"there are people in every community... who play this role of matchmaker... you could charge 30 bucks a month for these features"

Let the market set the ceiling.

A celebrity LA matchmaker could charge $5-10 k/month for access to an exclusive pool; the platform takes a cut.

Why: High-status niches have extreme willingness to pay when scarcity and curation are guaranteed.

"maybe you're a celebrity in the LA area... you charge $5,000 a month or $10,000 a month for it to be part of that pool"

Turn dating into a treasure hunt to remove negative selection bias.

App called Serendipity: users take absurd surveys, wait months, then receive cryptic location hints to “find” their pre-selected life partner.

Why: Indirectness lowers pressure and attracts higher-status users; the council and partner may not even need to exist.

"the secret is the council doesn't have to exist... you need to send your users... to the same place to find each other"

Any industry still using spreadsheets is a startup waiting to happen.

Scrape and structure the side-event spreadsheets that conference insiders circulate; convert pain into product.

Why: Spreadsheet usage signals fragmented, manual processes with clear user demand and no modern software.

"anytime you have any industry anywhere in the world where somebody is using a spreadsheet, it should be like a light bulb going off"

Use large-language models to create flexible, on-demand data enrichment.

A new Clearbit: ingest podcasts, LinkedIn, tweets, then expose a Knowledge Graph API that returns any requested data point in real time.

Why: LLMs jump accuracy from 30 % to 95 % and allow infinite, niche-specific attributes versus fixed schemas.

"LLMs have kind of unlocked a new way to extract data from unstructured information... you list the data points that you're looking for"