Opportunities › Real-time Postgres data replication to cloud storage › Proposed app
Tidewell
Stream Postgres changes into Iceberg tables in your own S3 bucket
- Score
- 55
- confidence 49
- Evidence
- 3
- items on the page
- Rivals
- 0
- named in sources
- First version
- 45 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2017
- Established market · AI estimate
ScreensConcept
Desktop app: Data engineers set up and monitor database pipelines at their desks, managing connection strings, schema changes, and lag monitoring across dense dashboards. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
New replication
Ready to start- Source
About this appAI proposal
Tidewell copies changes from your Postgres database into Iceberg tables in your own S3 bucket, continuously. You paste a connection string, pick the tables and point it at a bucket. Your warehouse or query engine reads the tables from there.
It is built for data engineers and analytics teams who now write replication scripts, run manual exports, or pay for a large managed CDC and ETL service. Tidewell does one job: Postgres to open table formats on storage you own.
Setup is meant to take minutes. Every table shows its lag, row counts and schema changes in one place, so you can trust the data without building monitoring first.
- Tagline
- Your Postgres data, landing in your lake as it changes.
- Voice
- PlainCalmPrecise
- Why this name
- A well is a steady source and a tide is a steady flow. Together they suggest data drawn from a database and carried continuously to storage.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Connection-string setup
Connect with a standard Postgres URL and a read-only role. Tidewell checks permissions and settings and tells you what to change before it starts.
No member yet
Continuous change capture
After an initial snapshot, inserts, updates and deletes flow to Iceberg tables in your S3 bucket, keeping analytics close to live.
No member yet
Your bucket, your data
Data lands in storage you own, in an open table format, so any engine that reads Iceberg can query it.
No member yet
Schema change handling
New columns are added to the target table automatically. Risky changes pause that table and ask you first.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#0B3C49Deep Tide · primary#F3F7F5Sea Foam · surface#12262BInk · text#E8743BBuoy Orange · accent#4FA3A5Shallow · data
Typography
Aa
Tidewell
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Your Postgres data, landing in your lake as it changes.
PricingAI proposal
The material gives no competitor prices. These tiers are a starting point to test, based on the opportunity's idea of tiers by databases and throughput.
Free
Free
- 1 database
- Up to 5 tables
- Hourly batch sync
- Community support
Team
$149 a month
- Up to 3 databases
- Continuous replication
- Schema change handling
- Lag alerts by email
Scale
$499 a month
- Up to 15 databases
- Higher throughput
- Column masking
- Priority support
Would you pay Team · $149 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- No loop in the product. Reached through content, search and developer communities. Replication is background infrastructure, so using it exposes the product to few new people.
- Do they become customers?
- Exposure is minimal, so growth depends on sales and content. Test whether data engineers who find a setup guide start a free replication and convert.
- First customers
- Data engineers at small and mid-size software companies running Postgres who want Iceberg on S3 and have no dedicated platform team for pipelines.
- Where to reach them
- Hacker News and Show HN: Post a technical write-up on the setup. The source thread drew 129 points and 40 comments, which shows interest.
- Data engineering communities: Answer replication questions in forums and Slack groups, and offer the free tier to people with a real use case.
- First milestone
- Five paying teams on the Team tier, each running a production Postgres database continuously for 30 days.
Why people already pay for this
- VerifiedHacker News post received 129 points and 40 comments
- Public claimPeerDB: Postgres was main warehouse data source for most customers (2024-07)
- Public claimPeerDB: $3.6M seed round led by 8VC (late 2023)
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Replication workersLong-running containers reading Postgres logical replicationVercel functions cannot hold open replication connections, so a small worker service is needed.
- This app · Table writerIceberg-compatible writer library and catalogCommits change batches as Iceberg tables to the customer's S3 bucket.
RisksAI inference
- TechnicalCorrect change capture is hard: large transactions, TOASTed columns, schema drift and replica failover can cause lost or duplicated rows.
- CommercialTeams may stay with existing managed CDC services or in-house scripts. The material names no competitors or prices, so willingness to switch is untested.
- DataCustomers' production data passes through the service, so security review and trust may slow sales.
- PlatformManaged Postgres providers differ in logical replication settings and permissions, so setup may need provider-specific work.
- TechnicalIceberg tables need compaction and catalog choices; poor defaults can make queries slow or storage costs high.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.