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Matched by signal, not by bio.

Twelve parameters – what you want to learn, what you can teach, your timezone, your reliability, your past peers – find the person you actually need. No scrolling. No guessing. No vanity bios.

You

ReactTypeScript
94% match

Maya R.

PythonReact
Skill fit
96%
Schedule
88%
Timezone
95%
Language
92%

Not random pairing.

Most platforms pair you with whoever is available. Lemma analyzes complementary skills – matching someone who teaches what you want to learn with someone who wants to learn what you teach.

The result is a two-way exchange where both partners gain something. Every session produces value for both sides, not just one.

YouTeach: ReactLearn: Python
MayaTeach: PythonLearn: React
Mutual
Teaches
Learns

Match analysis
91/ 100
Skill fit
95%
Schedule
88%
Timezone
92%
Language
100%
Pace
85%
Experience
78%
Strong match across all signals

Algorithm at work

12 compatibility signals are analyzed in real time to find your ideal learning partner.

Score breakdown6 dimensions
SignalWeightRawContribution
Skill fit
30%95
28.5
Schedule
20%88
17.6
Timezone
15%92
13.8
Language
15%100
15.0
Pace
10%85
8.5
Experience
10%78
7.8
Weighted total91.2 / 100

Compatibility signals

Skills, availability, timezone, language, pace, and experience are all weighted in the match score.

Reciprocal match
91% fit
Elena M.
Berlin, GMT+1
TeachTypeScript
LearnGo
James T.
London, GMT+0
TeachGo
LearnTypeScript
Elena teaches JamesJames teaches Elena

Skill overlap

The best matches happen when one teaches what the other wants to learn – true mutual benefit.

Match pipeline3 of 4
Match accepted
Both users confirmed
Conversation started
3 messages exchanged
Session scheduled
Tomorrow, 6:00 PM
Learning begins
TypeScript · 45 min
Progress75%

Session booking

Once matched, book a session directly from the chat. Both partners confirm and it appears on both calendars.

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