Built for Startup Founders

The CRM for startup founders still carrying the pipeline in their head.

Pre-seed to Series B founders across hardware, marketplace, services, and product carry pipeline, forecast, investor relationships, and the first-hire decision in one body. Strkr collapses the Gmail-and-Notion stack into one workspace with native forecast, Strkr AI deal risk, and a Marketing module included on every seat.

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Why buyers are here

Startups Founders: the daily pains.

A startup founder with a team of zero to twenty people carries a shape of work that no off-the-shelf CRM was designed around. The customer pipeline lives in Gmail threads. The investor tracker lives in a Google Sheet that gets rebuilt every fundraise and ignored in between. Design-partner relationships live in the founder's memory and a scattered Notion workspace. The board forecast lives in a Sunday-night rebuild. The hiring decision about the first sales person lives in a cofounder Slack thread. Every tool on the market promises to fix one slice and widens the stack. The pains below are the ones that show up on every founder onboarding call we run, and they are the reason a pre-seed to Series B generalist CRM has to look different from a 40-rep enterprise sales floor or a pure B2B SaaS pipeline tool. The rest of the page shows how Strkr collapses the whole shape into one workspace without the enterprise price tag.

Everything in Gmail and your head

The pipeline, the next step, and the forecast all live in one brain.

Founder-led selling across any vertical starts in Gmail and stays there longer than it should. Customer deals live in a search for the prospect name, next steps live in a star or a snooze, and the forecast is a Sunday-night re-read of the top twelve threads. The founder is also the lossy integration layer between the customer, the engineering lead, the ops partner, and the board. Strkr pulls every customer and investor conversation onto a record with a stage, an owner, a next step, and a close or follow-up date. The forecast becomes a saved view instead of a memory sweep.

No system to hand off

The first hire shows up and nothing is written down.

The first sales or operations hire starts, and the founder realizes the entire company is a Gmail archive and a Slack scroll. Who talked to whom, what was promised, which objection stalled the pilot, who owns the next step with the design partner, which investor said no and which one went quiet. The founder spends two weeks reconstructing context, and the new hire still misses the quiet signal that lived in a six-month-old reply. Strkr makes the handoff a record transfer, not a knowledge transfer. The new hire opens a record and sees every email, every call, every stage change, and a Strkr AI summary of why the deal or the relationship is where it is.

Board forecast anxiety

The quarterly number is a vibes-based rebuild before every board meeting.

Every board meeting opens with the next-quarter pipeline and the fundraising runway, and most pre-Series-B founders rebuild both from scratch each cycle. The number lands late, the confidence interval is a shrug, and the board asks follow-ups the founder cannot answer in the room. Strkr runs a native forecast on every pipeline with weighted probability, stage velocity, and Strkr AI deal risk flags, so the board view is live. The follow-up questions get answered from the same screen instead of landed as action items for the next week.

Investor tracker in a sheet

Fundraising runs on a spreadsheet nobody opens between rounds.

Investor relationships are a two-year compound asset, and most founders manage them in a Google Sheet that gets rebuilt every fundraise. The warm intros, the pass reasons, the quiet partners who want a monthly nudge, the fund-cycle timing, the ones who passed last round but want to re-engage, all of it lives in a static document that goes stale between rounds. Strkr tracks investors as a first-class contact record with stage, warmth, last-touch, pass reason, and a Strkr AI monthly digest the founder can send without rebuilding the list.

Design-partner relationships

The 12 relationships that will make the company live in your memory.

The first dozen design partners or beta customers carry disproportionate weight at pre-seed and seed stage. The pattern-finding across them, the quiet pains, the quoted phrases, the renewal signals, usually live in the founder's head and a Notion doc. The signal goes stale, and the ICP sharpens six months later than it could have. Strkr stores every design-partner conversation on the contact record with a tag taxonomy, Strkr AI generated summaries, and quoted-phrase search, so the pattern across the dozen relationships surfaces as a filter.

The first sales hire decision

When to hire the first sales person is a dollar-weighted question.

Hiring the first sales person is the single most expensive decision a founder makes between seed and Series A. Hire too early and the pipeline is not reproducible yet. Hire too late and the founder stays trapped in the demo seat for another quarter. Most founders make this call on vibes. Strkr runs pipeline coverage, stage velocity, win rate, and founder time-in-deal against the quarter target, so the decision is grounded in a view of the pipeline that is live, not reconstructed. The hire gets made when the data says the motion is ready.

How Strkr fits a startup founder week

Founder-led everything, with a system that can hand off.

A pre-seed to Series B founder week has a specific shape: a dozen active customer conversations, a handful of design-partner commitments, five or six investor relationships at various temperatures, and a board update on a predictable cadence. Strkr primitives are shaped around that shape. The cards below are the surfaces a founder lives in across a normal week, and the ones that stay unchanged when the first operator joins and the founder shifts up a level into management and fundraising. Every surface on this list ships on every paid seat with no premium module gate and no contact-tier wall.

Deal pipeline

Every Gmail thread becomes a customer record.

A customer pipeline with configurable stages for whichever motion you run: a product sales cycle, a services engagement, a marketplace onboarding, or a hardware pilot. Every email on the thread lands on the record automatically with full search. The founder stops living in Gmail search and starts living in a pipeline view, and the stage definitions are something you shape in an afternoon, not inherit from an enterprise template.

Investor tracker

The fund list that stays warm between rounds.

Investors live as first-class contact records with stage (Not met, Met, Diligence, Pass, Portfolio), warmth signal, fund-cycle timing, last-touch date, and pass reason. A saved view surfaces the warm partners who need a quiet nudge this month, so the next raise opens with a list that is live, not a two-year-old spreadsheet.

Native forecast

A board number that is live, not reconstructed.

Weighted pipeline forecast with per-stage probability, stage velocity, and a configurable close window. The next-quarter number updates as deals move, and the Sunday-night rebuild for the Monday board meeting disappears. The forecast and the pipeline are the same object, so the number cannot drift from reality.

Strkr AI deal risk

The quiet signal that a deal or a relationship is dying.

Strkr AI reads the activity, the gap-to-next-step, the stage velocity, and the sentiment of the last reply, and flags customer deals and investor relationships that look stuck or wobbling. The founder sees the three deals and the two investors that need attention before the Friday review, instead of discovering the slip on the Monday call.

Fast capture

Log a call or a coffee in 30 seconds.

A single-screen capture modal: who the person was, what the meeting was, what to do next. The founder leaves a demo or an investor coffee, logs the interaction before the next notification lands, and the record moves to the next stage automatically. The data quality holds because the capture happens while the context is fresh.

Mobile first

The conference and investor-trip week still gets logged.

Early-stage founder calendars include trade shows, demo days, investor trips, pilot customer visits, and a lot of airport time. Strkr mobile is a first-class surface with offline queue, voice-note capture, dialer, and SMS. The parking-lot moment becomes a logged activity instead of a mental note that evaporates on the flight home.

From founder-led to repeatable

Sharpen the ICP, then plug in the first operator.

The pre-seed to Series A arc is two moves: sharpen the ICP across the first twelve to twenty paying or piloting customers, then plug in a growth or sales hire that targets the sharpened ICP at a repeatable cost. Strkr runs both on the same workspace. The design-partner notes, the tag taxonomy, the investor tracker, and the Marketing module mean the first operator plugs into the system the founder has already been running, so the handoff is a stage change rather than a tool migration. The cards below are the surfaces a founder uses to pattern-match the ICP, and the ones the first hire inherits on day one.

Design-partner notes

Every conversation indexed and searchable.

Design-partner and pilot customer calls land on the contact record as timeline notes with a transcript field. Strkr AI drafts a one-paragraph summary and extracts jobs-to-be-done, pains, and quoted phrases. The founder searches a pain phrase or a feature across twelve calls and the pattern falls out as a filter instead of a vibes-based memory sweep.

ICP tag taxonomy

Tag every customer across six axes.

Team size, industry, use case, acquisition channel, buyer role, prior-tool story. The tag taxonomy is five to ten values per axis, so the pattern across the first twenty customers is a filter, not a memory sweep. The next twenty accounts you target look like the three that worked, and the ICP sharpens on real evidence.

Pilot to paid

Why the pilots that converted converted.

Compare the tags and the quoted phrases on pilots that converted to paid against the ones that stalled or churned. Two or three signals usually fall out in the first ten conversions: a role title, a pain intensity, a prior-tool story, a trigger event. The targeting lens sharpens, and the first growth or sales hire inherits a playbook grounded in what actually worked.

Marketing included

Broadcast, nurture, forms, and sequences on every seat.

The Marketing module ships on every paid seat with email broadcast, nurture flows, landing pages, forms, cold-outbound sequences, and native SMS. The first growth or sales hire ships a landing page and a nurture sequence inside the first week with no new tool to buy, no integration project to scope, and no plan upgrade when the mailing list grows past the free tier of whatever contact-tier product you were on.

Flows

The automations the founder keeps meaning to build.

A design partner stuck for two weeks gets a nudge. A pilot customer with a renewal date in 30 days gets a check-in task on the founder's queue. An investor who opened the last update twice in three days gets a follow-up task. The visual Flows builder means the founder ships the automation in an afternoon instead of writing something custom that goes stale by next quarter.

No contact-tier wall

Pricing that does not punish list growth.

The mailing list growing from 2,000 to 20,000 contacts does not trigger a plan upgrade. Per-seat pricing stays per-seat regardless of how many contacts, prospects, or investors live in the workspace. The first operator runs the full list without a renegotiation, and the founder is not forced into a plan tier shaped around marketing seats rather than company-wide seats.

Board readiness and fundraising

Run the pipeline the way the board and the next investor want to see it.

A startup board reports on a predictable cadence: pipeline coverage, weighted forecast, top deals, fundraising progress, and the hiring plan against the runway. Most pre-Series-B founders rebuild all of it in a spreadsheet the Sunday before each board meeting, and the rebuild gets more fragile as the pipeline grows past twenty active records. Strkr runs all of it as live views on the same record system, so the board deck pulls from one source and the follow-ups get answered from the same screen. The next investor conversation opens with the same views, which keeps the story consistent across the quarter.

Weighted forecast

A probability on every deal, a dollar amount on every stage.

Each stage carries a close probability. The forecast rolls to a dollar amount against the quarter target, and the founder sees the coverage ratio before it is a crisis. The board slide is a screenshot of a live view, not a rebuilt spreadsheet, and the number is defensible under follow-up questions.

Pipeline coverage

How much top-of-funnel does the quarter actually need.

Strkr computes the coverage ratio for the current quarter against the target and the historical win rate. The founder sees the gap on week two of the quarter instead of week ten, and the growth motion gets a dial-up that is grounded in math, not panic. The investor update tells a coherent story about where the next quarter lands.

Top deals saved view

The deals that will make the quarter, on one card.

A saved view of the top deals by weighted dollar amount, with next step, close date, Strkr AI risk flag, and last activity date. The founder shares it with the board, with the first operator, with the cofounder, and everyone is looking at the same deals in the same shape. The quarterly story becomes auditable instead of narrated.

Investor digest

A monthly update that pulls from the record system.

Strkr AI drafts a monthly investor update from the pipeline movement, the hires, and the shipped work logged in the workspace. The founder reviews, edits, and sends in fifteen minutes. The warm investor list gets the update, and the fundraising conversation stays open between rounds.

Runway and hire plan

The hiring decision grounded in pipeline evidence.

Custom fields track the hire plan against the runway: open roles, cost, start date, and the pipeline signal that justifies each one. The first sales hire stops being a vibes call and becomes a view: when founder time-in-deal and pipeline coverage cross a line, the next hire gets a start date and a target.

Pilot and shipment tracking

For founders whose motion is not pure SaaS.

If the sale involves a pilot shipment, a services engagement, or a staged rollout, Strkr tracks the pilot as a child of the deal with milestones, owners, and a rolled-up status. Hardware, services, and marketplace founders get the same forecast depth as a product founder without a bespoke build.

Head-to-head

Strkr for startup founders vs HubSpot free plus Attio plus Notion.

The default stack for a pre-seed to Series B startup founder is HubSpot free for the mailing list, Attio for a prettier sales side, and a Notion workspace for everything else (investor tracker, design-partner notes, feature commits, hire plan). It works for a quarter or two, then three cracks appear at once: HubSpot free runs out as the mailing list grows, Attio turns out to be pretty but shallow on forecast depth, and Notion goes stale the moment a second person starts updating pages in parallel. Strkr replaces all three with one workspace, native forecast depth, Strkr AI deal risk, and a Marketing module included on every seat.

What matters Strkr HubSpot free + Attio + Notion
Pricing model Per-seat only, no contact-tier wall HubSpot free caps at 1,000 to 2,000 contacts, then jumps steeply
Native forecast depth Weighted pipeline, stage velocity, coverage, deal risk Attio has pipeline but shallow forecast; HubSpot free limited
Strkr AI deal risk Flags stuck deals, sentiment drops, missing next steps Not available on free CRM tiers or in Attio base
Investor tracker First-class contact records with stage, warmth, pass reason Separate Notion page or Google Sheet rebuilt each round
Design-partner notes Timeline notes with tags, Strkr AI summaries, searchable Notion pages searchable only by title
First-hire handoff Reassign record, full history and summary travel with it Export threads, reconstruct context, lose the quiet signal
Email marketing Included on every seat, no contact cap HubSpot free capped, then paid upgrade shaped around marketing seats
Cold-outbound sequences Included on every seat Separate sequencer bill on top of the CRM
Native SMS Included module Not available on free CRM tiers
Tools open on a given day 1 (Strkr) 4 to 6 (CRM + mailing + sheets + notes + sequencer + scheduler)

See the CRM for startup founders still carrying the pipeline in their head.

Start a 14-day trial with the full workspace enabled: CRM, native forecast, Strkr AI deal risk, investor tracker, Marketing, Flows, SMS, and mobile. Per-seat pricing that does not scale with your mailing list, and a Marketing module included so the first operator plugs in without a new bill. Build a pipeline, a forecast, an investor tracker, and a design-partner notes system in an afternoon.

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Common questions

Startups Founders buyer FAQ.

Why Strkr for a pre-seed to Series B startup founder specifically, instead of HubSpot free or Attio?

HubSpot free is lovely for a mailing list up to about 2,000 contacts and a simple deal pipeline, and Attio is a pretty surface for the sales side. The crack appears when the founder needs four things at once: a native forecast the board can read, Strkr AI deal risk that catches the quiet slip before the Monday call, an investor tracker that stays warm between rounds, and a Marketing module that does not force a plan upgrade when the mailing list grows. HubSpot free runs out on the mailing list, Attio runs out on forecast depth, and a Notion workspace runs out the moment a second person starts updating pages. Strkr runs all four on one workspace with per-seat pricing that does not scale with your list.

I run a hardware or services startup, not pure SaaS. Does Strkr still fit?

Yes. The pipeline stages are configurable, so a hardware pilot, a services engagement, or a marketplace onboarding gets stages that match the real motion. Pilots and shipments live as child records of the deal with milestones and owners, and the status rolls up to the forecast. The native forecast depth, Strkr AI deal risk, investor tracker, and Marketing module work the same way for a hardware founder, a services founder, or a product founder. The CRM for a generalist startup motion was the gap we built Strkr for.

How does Strkr help with the first sales or operations hire decision?

Hiring the first sales person is the single most expensive decision a founder makes between seed and Series A. Strkr runs pipeline coverage, stage velocity, win rate, and founder time-in-deal against the quarter target as live views, so the decision stops being a vibes call. When founder time-in-deal and pipeline coverage both cross a line, the hire gets a start date grounded in evidence. And when the hire shows up, the handoff is a record transfer rather than a knowledge transfer: the new operator opens a deal and sees every email, every call, every stage change, and a Strkr AI summary of where the relationship is and why.

What does the investor tracker actually do that a spreadsheet does not?

The investor tracker treats funds and partners as first-class contact records with stage, warmth signal, fund-cycle timing, last-touch date, and pass reason. The warm partners who want a quiet monthly nudge surface as a saved view, Strkr AI drafts the monthly investor update by reading the real pipeline movement and shipped work, and the fundraising conversation stays live between rounds. A spreadsheet rebuilds from scratch every round. The tracker compounds across two years of relationships, so the next raise opens with a list that is current rather than reconstructed.

How does the Marketing module work on the per-seat price?

The Marketing module ships included on every paid seat with email broadcast, nurture flows, landing pages, forms, cold-outbound sequences, native SMS, and a visual Flows builder. There is no contact-tier wall that forces a plan upgrade when the list grows from 2,000 to 20,000. The first growth or sales hire plugs into the same workspace the founder has been running, inherits the full customer record and the design-partner notes, and ships their first landing page the same week with no new tool to buy. The pricing stays per-seat as the list scales.

Can Strkr grow with us from pre-seed through Series B and beyond?

Yes. The same workspace that handles a solo founder with a dozen deals handles a 40-person post-Series-B team with specialized operators, sales reps, a growth function, and a RevOps lead. Role-based saved views, custom fields, Flows, permissions, and the native forecast all scale up as the team scales up. The CRM you set up on day one is the CRM you run at Series B, and the migration cost that otherwise hits mid-growth never happens because the schema already supports the roles. The ICP iteration you do in the first six months becomes the targeting lens the first growth hire uses in the next six.

Also considering

Related combinations.

SaaS Founders B2B Startup Sales Leaders B2B Startup Account Executives SaaS Sales Leaders SaaS RevOps Mid-Market Sales Leaders

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