Confidential — Tiger Data & Salient PR
PR Partnership Proposal
Proposal for Tiger Data
Prepared for Mandy Hanson & Isabel Macaulay
SALIENT PR · salientpr.com
The market still knows you as TimescaleDB. Your competitors — ClickHouse, Neon, PlanetScale — are investing heavily in growth announcements, customer press releases, and developer content at a pace that's outpacing your visibility. You're missing from major industry reports monthly. Your current PR approach is reactive, not proactive. You need a partner who will close the gap — and then surpass it.
All three competitors share one blind spot: zero contributed thought leadership in the publications your buyers actually read. None are systematically targeting Hacker News feeder outlets, Postgres-specific podcasts, or developer trade publications with strategic content. These are your openings — and exactly where we'll focus.
No direct competitors in Salient's current portfolio.
We're closer to a technology company that does media relations — and that changes everything about how we work and what results look like.
Our AI handles monitoring, classification, and research that consume 60-70% of a traditional agency's time. Your human hours go to strategy and pitching.
Shared media lists, shared pitch tracking, real-time visibility. No proprietary databases held hostage. No 48-hour response windows.
Your marketing and content teams stay focused on what they do best. We own Media Relations execution — with strategic counsel that strengthens everything.
Every pitch produces the kind of coverage that changes how reporters think about Tiger Data — features, data-driven stories, and executive profiles.
Proprietary AI systems replace manual research and monitoring with intelligent pipelines that surface opportunities faster than any human team.
Enterprise-tier APIs with data isolation. No client data trains models. No proprietary info in shared environments. Every output passes human review. We hold ourselves to the same rigor you bring to your open-source Postgres extensions.
Concrete milestones with a 90-day checkpoint to evaluate results and calibrate forward.
Distinct positioning for each spokesperson — matched to the right opportunities with precision.
MIT background. Serial entrepreneur. Co-founder origin story with Mike Freedman — college roommates who became co-founders. Business vision for why PostgreSQL has won, why the database industry is consolidating, and where data infrastructure goes in the agentic era.
Best for: Business and tech podcasts, contributed articles in broader developer publications, founder-profile opportunities.
Princeton CS professor turned startup CTO. Deep technical credibility in database architecture. Engineering breakthroughs behind Tiger Data's performance — columnar compression, DiskANN vector search, Tiger Lake architecture. Real benchmark data as proof points.
Best for: Postgres-specific podcasts (Postgres FM, Changelog), deeply technical contributed articles (InfoQ, The Morning Paper), conference keynotes and talks.
Matty Stratton — already producing strong technical blog content for Tiger Data. Can be positioned for developer community talks and podcast appearances as a third voice as the program expands.
Sustaining narrative presence in the 47 weeks a year without major news. This is where most agencies go quiet. We don't.
Survey 400–600 senior developers and infrastructure leaders on how AI is reshaping database architecture and decision-making. Delivers immediate launch coverage, 6–12 months of proactive pitch fuel, podcast hooks, and data-backed thought leadership reporters actually cite.
Deep roots in the developer tools, infrastructure, and enterprise technology ecosystem — the world Tiger Data operates in.
Nine billion-dollar companies. Series A through pre-IPO.
5 clients in WSJ. 8+ in Forbes. 4 in Fortune. 15+ in TechCrunch.
3–5 meaningful placements across trade and tech press. 2–3 new reporter relationships. First podcast appearances booked. Award pipeline active. At least one proactive pitch landed without a launch driving it. We under-promise and over-deliver.
Continuous scanning and classification of thousands of sources to surface opportunities daily.
Real-time detection of Tiger Data and competitor mentions across news, trades, podcasts, and social.
Weekly branded coverage reports generated automatically — no manual effort.
Task management, deadline tracking, and QA across client accounts.
Every output passes human review. AI drafts, humans refine. AI surfaces, humans decide. No client data trains models. Sensitive information never enters shared environments.
As a company building open-source developer tools, you understand the importance of technical credibility. Our AI systems reflect that same standard.
No handoff. The people in this proposal are the people doing the work.
On every account — strategy to pitching to press releases. 10+ years, nine billion-dollar companies. Direct relationships at Forbes, Fortune, WSJ, TechCrunch. Five-star rated on Clutch and Google.
Day-to-day execution lead. Works directly with your team day-to-day — managing the editorial calendar, coordinating pitches, and keeping every deliverable on track.
3+ years at Ranger Finn (formerly Touchdown PR). Led multiple B2B technology accounts. Bylines in Dark Reading, Security Magazine, VentureBeat, InfoWorld. BA in Journalism.
Pitch deployment coordination, AI system oversight, and quality assurance across automated workflows. Ensures the intelligence pipeline runs accurately.
The equivalent of three additional team members — running 24/7 across intelligence, monitoring, dashboards, and orchestration. Proprietary infrastructure we built. Included at every tier.
Every tier includes our AI-powered pipeline, Slack integration, and monthly reporting. The difference is scope.
Data report research costs (survey fielding, vendor fees) scoped separately if applicable.