Built for 5-30 person SaaS teams. Predictable annual pricing.
Custom-built AI fellows for pre-Series-A SaaS teams. A Sales fellow when you need pipeline. A Customer Success fellow when retention starts to matter. A Support Engineer fellow when ticket volume gets ahead of your eng team. Add fellows as you scale.
Pre-Series-A SaaS teams have a brutal math problem. Founders are stretched across product, sales, CS, support, and ops. Hiring a senior person per role costs $120k-$200k loaded annually before they ramp. Hiring junior costs less but adds management load. Most teams compromise on coverage \u2014 meaning some functions run thin, and growth suffers.
A FellowHire fellow is custom-built for one role and lives in your Slack. Casey (Sales fellow) handles pipeline coverage. Sage (CS fellow) tracks account health. Patch (Support Engineer fellow) keeps ticket volume from drowning your engineers. Each fellow is on predictable annual pricing \u2014 no per-seat, no per-message bills.
Honest scope: the fellow extends a senior person, it does not replace one. You still need founders making product calls and senior CSMs making save calls. The fellow handles the work below that bar \u2014 fast, always available, trained on your stack.
Most teams start with one fellow for the most painful role. Many add 2-3 within six months as the model proves out.
Qualifies inbound leads, drafts outbound sequences, updates the CRM.
Best fit if you are founder-led without a full SDR yet.
Tracks account health, drafts QBRs, flags churn risk.
Best fit if retention is starting to matter.
Triages tickets, drafts replies for common issues, escalates real problems.
Best fit if ticket volume is ahead of your eng team.
Weekly metrics post, reconciliation, standing rituals, internal comms.
Best fit if the founder is the ops bottleneck.
Books reconciliation, AR cadence, expense categorization, monthly close prep.
Best fit if your fractional CFO needs help with the routine.
Drafts blog posts, ad copy, social. Trained on your brand voice.
Best fit if you need content but do not have a marketer.
Casey reads new leads, scores against your ICP, drafts the outreach.
Casey pulls weekly pipeline numbers, flags stalls, drafts the founder update.
Sage builds health scores per account, pings the channel when signals shift.
Sage pulls usage, milestones, and ticket history into draft QBRs.
Patch reads incoming tickets, drafts replies for common issues, escalates real problems with full context.
Rowan pulls ARR, MRR, NPS, churn into the weekly internal post every Friday.
Sterling cross-checks Stripe, bank, accounting weekly. Flags mismatches.
River pulls the brief, drafts the post in your tone, returns headline options.
Most SaaS startups hire fellows in stages. The pattern we see: month 1 = one fellow for the most painful role (usually Sales or Support Engineer). Month 4-6 = a second fellow. Month 9-12 = a third when the model is proving out and founders trust the workflow.
Soft anchor: FellowHire itself runs Morgan (Marketing fellow) and a small fellow team. We use the product on ourselves. Our reseller partner Synergy Solution IT (an MSP, but operationally similar to a SaaS shop) is in active pilot. We will publish a SaaS-specific case study as soon as a pilot customer approves one.
If your startup is open to being the anchor case study for this page, we offer extended pilot terms and direct founder access during the build.
CRM
Helpdesk
Product Analytics
Billing
Engineering
BI / Data
Communication
Marketing
Project Management
Need a tool not listed? Tell us during scoping.
The pitch most SaaS founders want to hear: predictable cost, full coverage of one role, faster than a hiring loop. A FellowHire fellow ships in about a week. Annual pricing is predictable — no per-seat, no per-message. The fellow lives in your Slack so the whole team uses it.
The honest comparison: a junior hire ramps over 3-6 months and costs $60k-$100k loaded. A FellowHire fellow ramps in a week. Most pre-Series-A teams use this to cover a role they otherwise could not justify hiring for yet — Sales, CS, Support Engineering — until growth justifies a senior human alongside.
Each fellow is on a custom annual plan based on the role. No per-seat charges. No per-message charges. Predictable bills that scale with your team, not your usage.
Yes. Larger teams typically run 4-6 fellows alongside their human team \u2014 the fellows extend, they don't replace. The bar shifts: pre-Series-A teams use fellows because they can't justify the senior hire yet; post-Series-A teams use fellows because they free senior people for senior work.
ChatGPT Team gives every employee a chat interface \u2014 useful but not role-specific. The fellows are trained for one role, integrated with your stack, and work in your channels alongside your team. Different products. Many SaaS teams run ChatGPT for general thinking AND a FellowHire fellow for one specific role.
We have a Developer fellow (Kai) \u2014 best at PR pre-review, dependency upgrades, on-call summaries, and refactor diffs. It is not a replacement for Copilot or Cursor (those live in your editor). Different layer; honest about the line.
Annual pricing is custom per role and per scope. Typical range is meaningfully less than a junior loaded hire for the equivalent coverage, with the obvious caveat that a fellow extends rather than replaces a senior person.
Tell us where the bottleneck is. We will scope the right fellow and have it in your Slack in about a week.