2
1 Comment

October -> December Update: €240 MRR (+€101) - Lost motivation, launched anyway, building next big thing

What happened these 3 months

October crushed my motivation. Despite programmatic SEO, growth stalled. November surprised me with a Product Hunt spike I didn't understand. December I prepared for the most-requested feature launch (Signal groups in early January).

Metrics

October (the slump):

  • MRR: €139 → €148 (+€9 / +6%)
  • New paying: +3
  • Churn: -2
  • Signups: 70, only 48 linked (69% - regression from 84%)
  • Mood: Questioning everything

November (the surprise):

  • MRR: €148 → €209 (+€61 / +41% - best month ever)
  • New paying: +10
  • Upgrades: +1
  • Churn: -3
  • Signups: 108, 80 linked (74%)
  • Product Hunt launch (confusing, votes didn't count?)
  • Traffic spike (programmatic SEO finally kicking in?)

December (the pivot):

  • MRR: €209 → €240 (+€31 / +15%)
  • New paying: +4
  • Upgrades: +1
  • Signups: 84, 71 linked (85% - back to high link rate)
  • Built: Signal group transcription (shipped Jan 5)
  • Fixed: Onboarding wording ("/verify" instead of "/link")

Total growth: €139 → €240 (+€101 / +73% over 3 months)

What worked

November traffic spike validated programmatic SEO (finally)

After deploying 5 profession pages in September and seeing zero impact in October, November suddenly brought a massive traffic spike. Not sure if it was Product Hunt or delayed SEO indexing, but something clicked. 10 new paying customers in one month without me doing anything.

Lesson: SEO takes longer than you think. I almost gave up in October.

Churn isn't always bad

Confirmed what I suspected in September: users cancel when they don't need the service anymore, but they come back. One user who churned in October resubscribed in November when they needed it again.

This validated that occasional usage is a feature, not a bug. People have real but sporadic transcription needs.

Wording matters: "/verify" > "/link"

Changed onboarding command from /link to /verify in early December. Link rate jumped from 74% to 85%. Same feature, different word. Turns out "verify" feels less technical than "link your account."

Small UX changes compound.

Signal groups = preparing the next phase

Built group transcription feature in December based on user feedback. Shipped January 5th. Too early for metrics in this update, but it's the most-requested feature and might finally attract power users who justify premium plans.

What didn't work

Product Hunt launch was confusing

Launched on Product Hunt in November without really understanding the platform. Got users to upvote but votes didn't count toward ranking. Traffic spike happened anyway, but unclear if it was PH or just coincidence with SEO.

Not doing that again without proper research.

Link rate still too volatile

  • September: 84%
  • October: 69% ❌
  • November: 74%
  • December: 85% ✅

Can't tell if December's 85% is sustainable or just luck. Need more months of data. Still losing 15% of signups before they even use the product once.

October motivation crash

Programmatic SEO showed zero results in October despite launching in September. Only +3 paying customers, -2 churns. Seriously questioned if I should keep going.

Almost started a new SaaS instead.

But then November happened and validated the work. Lesson: Give things time to compound before pivoting.

Reality check: Goals vs. actual

Original goal (from September): €500 MRR by end of December 2025

Actual: €240 MRR (48% of goal)

Revised timeline: At current growth (+€34/month average), I'd reach €500 in July 2026 - 7 months late.

But this assumes:

  • No acceleration from group transcription
  • No paid ads
  • Linear growth (unlikely)

Signal groups might change the trajectory. Or not. We'll see.

Open questions I'm wrestling with

1. Should I remove the free plan?

Currently 500+ free users, only 37 paying. Free plan brings signups but unclear if it converts enough. Could removing it force better qualification upfront?

Counter-argument: Free users provide social proof and word-of-mouth.

2. Should I test paid ads?

SEO is working but slow. Could Facebook/Google Ads accelerate growth? Or would it just burn cash on users who churn after one month?

Alternative: Micro-influencer partnerships? What's typical cost/ROI for SaaS?

3. Should I keep building or start something new?

Real question I'm facing: Should I let SignalWhisperBot run on autopilot while starting a new SaaS, or go all-in on trying to scale this?

The more I work on this, the more it feels like a very niche product that can't grow quickly. Apart from November's exceptional spike, I'm not seeing consistent growth in new subscribers. Maybe the market is just too small, or I haven't found the right channel yet.

It's profitable and running, but slow. Do I:

  • Keep optimizing SignalWhisperBot (paid ads, more SEO, new features) and try to force growth?
  • Or let it run passively and start building something with faster potential?

Opportunity cost is real.

What's next (January-February)

Monitor group transcription impact: Will it attract power users? Will it drive upgrades to Pro/Pro+ plans?

Add more programmatic SEO pages: December's additional profession pages are too recent to measure. Need 2-3 months.

Test paid ads (maybe): Small budget Facebook/Google experiment if groups show traction.

Decide on free plan: Give it another month of data, then make a call.

Mental commitment: Give groups feature 2 months to prove impact before considering pivot.

Ask

For those who've scaled past €500 MRR:

  1. At what point did growth accelerate? Was it a feature, a channel, or just time?
  2. Did you keep the free plan or kill it? What drove the decision?
  3. Paid ads for SaaS - waste of money or game changer? What budget/channel worked?

For bootstrappers dealing with slow growth:
How do you stay motivated during flat months like my October? Do you set time-based commitments ("I'll give this 12 months no matter what") or metric-based ones ("If I don't hit X by Y, I pivot")?


on January 11, 2026
  1. 1

    Hey Guillaume,

    I use metric-based, but with one layer on top: customer feedback takes priority over numbers when they contradict each other. Metrics tell you when to pivot. Customers tell you where.

    Your October is a good example — +€9, motivation in the gutter, almost quit. But in that same period you had users resubscribing and a backlog of Signal groups requests. You already had your answer. You were reading it as engagement data, not as directional signal.

    The difference between "too niche to grow" and "recoverable churn" doesn't get resolved with more months of metrics — it gets resolved with 3 structured conversations with people who canceled and didn't come back. Fitzpatrick's Mom Test has a specific framework for this. Not idea validation; direction diagnosis.

    On my end — I'm building something that came partly from studying the use-and-cancel pattern you described in your September post. That user who churned off $1.99 was the data point that stuck with me the most. Your post helped clarify what problem is worth solving. Still working through a lot of things, but it's taking shape.