Custom jargon dictionaries make AI summaries crystal clear for global teams.
Remote workers in distributed teams get incomplete meeting summaries because AI transcription tools fail to accurately capture accents and jargon.
Teams build shared glossaries for industry terms, which JargonSync injects into AI transcription for precise capture. It produces summaries tailored to your vocabulary, with search and highlight features. Easy import from past transcripts accelerates setup.
Remote workers in global distributed teams relying on AI tools for meeting transcriptions
Team-editable jargon database with auto-suggestions, solving niche term failures.
friendly
Create/edit team-specific jargon dictionary.
Transcribe using custom glossary for 98% jargon accuracy.
Summaries that understand and highlight jargon terms.
Search transcripts for terms; auto-highlight jargon.
Bulk import from docs or past transcripts.
AI suggests new terms from transcripts.
Public links for summaries without login.
Zapier for Slack/Email.
| Column | Type | Nullable |
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| id | uuid | No |
| text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| terms | jsonb | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| audio_url | text | No |
| content | text | Yes |
| summary | text | Yes |
Relationships:
/api/transcribe-jargonTranscribe with glossary
/api/glossaryUpdate team glossary
/api/transcriptsFetch transcripts
/api/import-glossaryBulk import terms
Basic only
5 team members
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 4% | $150 | $1,800 |
| Month 6 | 1,000 | 7% | $1,750 | $21,000 |
JargonSync uses your team's dictionary for precise, understandable transcripts every time.
Share in niche Slack communities like Tech Leads or Remote Work, offering free Pro for glossary setup help. Run LinkedIn ads targeting 'remote engineering manager' with jargon pain demo video. Email 15 VCs' portfolio companies in distributed tech.
Ease of use
No custom vocab
Jargon mastery via editable DB
Sales focus
Expensive, jargon-limited
Affordable, customizable for any team
User-generated glossaries create switching costs and data network effects within teams.
Explosion of specialized AI prompts + remote teams needing domain-specific tools.
Prompt engineering fails edge cases
Hybrid keyword + LLM
Teams prefer manual notes
Free tier virality
High OpenAI costs
Usage caps
Success: 80% interest
Success: Repeat usage
Success: 20% referral growth
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