Comparison table
| Formula. | Gojiberry | |
|---|---|---|
| Approach | Autonomous AI agent: detects signals, writes, sends, books | Intent detection tool — warm list + suggested messages |
| Buying intent detection | ✓ LinkedIn likes, comments, profile visits, competitor engagement | ✓ Yes — warm prospect identification |
| Message writing | ✓ AI writes personalized messages per prospect | ⚠ Suggested templates — you finalize and send |
| Autonomous sending | ✓ Agent sends automatically on LinkedIn and email | ✗ You send manually |
| Follow-up automation | ✓ Agent follows up at the right moment, continuously | ✗ Manual — you manage the inbox |
| Calendar integration | ✓ Connected to your calendar — agent proposes slots and books automatically | ✗ No |
| Qualification | ✓ Agent qualifies conversations — you only see warm replies | ✗ You qualify manually |
| LinkedIn outreach | ✓ 28 requests/day, business hours, undetectable | ⚠ Signals only — outreach is on you |
| Email outreach | ✓ Parallel email on same qualified prospects | ✗ No email channel |
| Mobile app | ✓ iOS + Android — swipe to validate in 3 seconds | ✗ Web only |
| Continuous learning | ✓ Agent improves daily from your feedback | ✗ Static scoring model |
| Time required daily | ✓ 0 to 5 min (mobile validation) | ⚠ 30 min to 1h (review list + send manually) |
| Reply rate | ✓ 50–60% vs 7–11% market average | Depends on your outreach execution |
| Data hosting | ✓ Paris — GDPR compliant | Check their policy |
| First results | ✓ 1 to 3 weeks | ⚠ Depends on how fast you act on the list |
The gap: from "here's a warm list" to "meeting booked"
Gojiberry does something genuinely valuable: it filters the noise. Instead of prospecting cold, you get a list of people who are actively showing interest. That is a real advantage over most outreach tools.
But there is still a gap. Gojiberry hands you a warm list and says "go." You still need to write messages, decide when to send, follow up when there is no reply, handle objections, and coordinate scheduling when someone says yes.
The key difference: Gojiberry improves your starting position. Formula. takes you from starting position to booked meeting — automatically.
Formula. starts with the same signals — and takes it all the way
Formula. monitors the same intent signals: who liked your competitors' posts, who is engaging with relevant content in your market, who is actively searching. But instead of handing you a list, it acts on those signals immediately.
The agent writes a personalized message for each prospect — not a template, a message that reflects what it actually knows about that person. It sends on LinkedIn, follows up via email if needed, qualifies the conversation, and when the prospect says they want to meet, it checks your calendar, proposes slots, and books the meeting.
Who is each tool built for?
Formula. is built for you if...
- You have a validated B2B offer and want the whole process automated
- You want meetings in your calendar, not a list to work through
- You do not want to write outreach messages or manage follow-ups
- You want to validate from your phone in seconds per day
- You want a system that improves itself over time
Gojiberry might suit you if...
- You want to improve your targeting and focus on warm prospects only
- You prefer to write and send messages yourself
- You enjoy managing your own LinkedIn conversations
- You have time to act on intent signals manually, every day
- You are comfortable with inconsistent follow-up
Intent signals are just the starting point
The gap between detecting intent and booking a meeting is where most outreach effort lives. Writing the right message. Sending at the right time. Following up without being pushy. Qualifying before a meeting happens.
Gojiberry gets you to the starting line faster. Formula. runs the race for you.
840 prospects per month. Formula. reaches 28 LinkedIn prospects per day — every working day, within business hours, at a pace that looks natural. That is 840 qualified outreach actions per month without you lifting a finger.
Frequently asked questions
What is the difference between Formula. and Gojiberry?
Both tools detect buying intent signals on LinkedIn. The difference is what happens next. Gojiberry identifies warm prospects and suggests messages — you still send manually and manage your inbox. Formula. takes the same signals and does everything automatically: it writes the message, sends it, follows up, qualifies the conversation, and books the meeting.
Does the agent book meetings automatically?
Yes. The agent is connected to your calendar. When a prospect is ready to meet, it checks your availability, proposes time slots directly in the conversation, and books the meeting automatically. No scheduling back-and-forth.
Does Gojiberry send messages automatically?
No. Gojiberry surfaces intent signals and suggests message templates, but you are responsible for sending and managing responses. Formula. handles the full conversation from first contact to booked meeting.
How does Formula. detect buying intent?
Formula. monitors LinkedIn for signals: who liked or commented on your competitors' posts, who visited your profile, who is actively engaging in your market. These are warm prospects already in research mode. The agent prioritizes them and reaches out first.
What reply rate can I expect with Formula.?
Formula. achieves a 50 to 60% reply rate, versus the 7 to 11% market average. This is because messages are personalized from real behavioral signals, not sent to cold lists.
Is Formula. compatible with an existing sales stack?
Yes. Formula. can feed qualified conversations into your existing CRM or outreach workflow. It handles the top of the funnel — finding, contacting, qualifying — so your team focuses on closing.
Intent signals are worth nothing if you do not act on them.
Formula. detects the signal and sends automatically. Mobile app on iOS and Android. First results in 1 to 3 weeks.
Book a call →