Quick comparison
| Feature | Baseline | Athletedata | |---|---|---| | Pricing | $0 / $12/mo / $249 lifetime | $25/mo coaching / $9/mo MCP / $299/yr | | AI approach | Pull-style: you invoke insights when you want them, AI surfaces what changed | Push-style: the AI messages you proactively, starts conversations | | Delivery | Web dashboard (mobile-responsive, designed-down) | WhatsApp / Telegram / MCP chat interface | | Primary UX | Beautiful dashboard you explore freely | Chat-based coaching you reply to and engage with | | Integrations | 7 (Strava, WHOOP, Apple Health, Garmin, Oura, Coros, Wahoo) | 19+ (Strava, WHOOP, Garmin, Coros, Polar, Wahoo, Hevy, TrainingPeaks, MyFitnessPal, Withings, more) | | Heatmap | Full-resolution V3.1 with bleed, interactive, country/state stats | Not a focus - text-based summary of location data | | Training plans | AI-generated adaptive plans (Pro+ tier, coming soon) | Auto-adapting 14-day training plans (live now) | | Multi-sport support | First-class for run, ride, swim, hike, triathlon, ski | Triathlon-first positioning, other sports supported | | Historical data depth | Stores your full activity history indefinitely | "We do not store bulk copies of your workout data" - query-based access | | Data export | Full JSON download, one click, self-service | Not prominently featured on the website | | Geographic analysis | Country/state breakdowns, trip detection, altitude profiles | Text summary of locations | | Achievement badges | 50+ badges with public profiles and rankings | Not a focus | | Solo developer | Yes (Liam, Melbourne, Australia) | Yes (Julian Flieller, Germany) | | Launch date | Public beta early 2026 | Public launch April 2026 | | User base | Growing (free tier + paid subscribers) | 500+ paying users in first 6 weeks |
Where Athletedata wins
Julian Flieller launched Athletedata in April 2026 and has executed with remarkable speed and focus. The product has several genuine advantages:
Push-style AI that coaches proactively. Athletedata's AI messages you first. It starts conversations: "Your HRV dropped 12% this morning. Your scheduled workout is a threshold session. Consider swapping today's plan with tomorrow's easy run." For athletes who want an AI coach that takes initiative, this is the right model. Baseline's AI waits for you to open the dashboard.
19 integrations and counting. Athletedata connects to more platforms than Baseline - including several Baseline doesn't yet support: Polar, Hevy, TrainingPeaks, MyFitnessPal, and Withings. If you use a less common device or tracking app, Athletedata is more likely to have a direct integration. The integration count is growing daily, which Julian openly tracks in a public changelog.
Auto-adapting training plans are live. Athletedata generates 14-day adaptive training plans that rewrite themselves based on your fatigue, recovery, and recent performance. If you have a bad night of sleep, the plan adjusts. If you crushed your interval session, the next workout increases in intensity. This is a genuinely useful feature that Baseline has planned but not yet delivered.
WhatsApp and Telegram delivery. Athletedata works in the messaging apps athletes already use every day. You don't need to install another app or remember to check another dashboard. The message shows up. You reply if you want to. For athletes who are overwhelmed by app fatigue, this is a compelling approach.
Shipping velocity. Julian ships features and fixes daily, tracked in a public changelog. 500+ paying users in 6 weeks is a strong signal of product-market fit. The product is improving visibly week over week.
Press and community presence. Athletedata has been covered in The 5K Runner and Slowtwitch, and Julian is active in the training technology community. The product has visibility that Baseline, as a quieter project, does not yet have.
Where Baseline wins
The fundamental difference is philosophy, and Baseline's philosophy serves a different type of athlete:
Pull-style AI respects your attention. Baseline's AI doesn't message you unprompted. When you open the dashboard, the "three things to know" card surfaces what changed - a CTL trend shift, a new best effort, an HRV anomaly, a workout pattern worth noticing. You decide when to engage. You never get a notification that feels like noise. For athletes who find proactive AI intrusive, Baseline is the better model.
Visual dashboard vs chat interface. Athletedata's UX is a conversation. Baseline's UX is a dashboard. Both are valid, but they serve different cognitive styles. Some athletes want to see charts, maps, trends, and distributions at a glance. Baseline gives you a heatmap of every activity you've ever recorded, a training load chart you can configure, a sport-mix donut, and geographic stats by country. These are not representable in a chat interface.
Geographic depth is first-class. Baseline treats where you train as a first-class dimension of analysis. The full-resolution interactive heatmap, country-by-country distance and elevation breakdowns, trip detection that groups activities by travel, altitude profiles - these are features for athletes who think geographically about their training. Athletedata doesn't attempt this.
Data ownership and export. Baseline stores your full activity history and provides one-click JSON export. Athletedata explicitly states "we do not store bulk copies of your workout data" - data is accessed via API queries when needed. This matters differently to different athletes, but for those who want their data stored durably and exportable, Baseline's approach is more transparent.
Lifetime pricing. Baseline offers a $249 lifetime option. At $12/month for Pro, that's break-even at 21 months. For athletes who plan to track their training for years, the lifetime option is significantly cheaper over time. Athletedata's $299/year plan has no lifetime equivalent.
No social features (by design). Like Baseline, Athletedata doesn't have social features. Both platforms are privacy-first. But Baseline's design philosophy extends to data isolation - no data is shared, sold, or used to train AI models outside your individual account.
Feature comparison deep dive
AI philosophy: push vs pull is the core difference. This is not a minor feature distinction - it's the fundamental design decision that defines each product. Athletedata's AI is proactive: it monitors your data, decides when something is worth telling you, and messages you. Baseline's AI is reactive: it processes your data and presents findings when you open the dashboard. Neither is objectively better. Push-style AI works for athletes who want guidance without remembering to check a dashboard. Pull-style AI works for athletes who find unsolicited notifications intrusive and prefer to engage on their own terms.
Chat vs dashboard UX. Athletedata's chat interface is familiar and low-friction - it works inside WhatsApp and Telegram, apps athletes already use. Baseline's dashboard is richer for data exploration - you can see charts, maps, distributions, and trends in ways that are impossible in a chat interface. To get geographic analysis from Athletedata, you'd receive a text message saying "you ran in 12 countries this year." On Baseline, you'd see an interactive map with highlighted countries, distance totals, elevation profiles, and clickable regions. Both convey the same information; the experience is fundamentally different.
Integration philosophy. Athletedata's 19 integrations cover more platforms, but the connection model is different. Athletedata accesses your data via API queries when needed and explicitly states it doesn't store bulk copies. Baseline stores your full activity history from each connected source, which enables richer historical analysis - year-over-year comparisons, multi-year trends, and geographic coverage stats that span your entire training career. Athletedata's approach is lighter-weight; Baseline's approach is more durable.
Training plans: auto-adapting vs planned. This is Athletedata's strongest differentiator. The 14-day auto-adapting training plans that adjust based on your fatigue and recovery are a genuinely useful feature that Baseline has planned but not yet delivered. Athletedata's plans operate on a short window (14 days) and adapt continuously. Baseline's planned approach (Pro+ tier) will use a different model - AI-generated plans with longer horizons and more user control. Early adopters who want adaptive plans today should use Athletedata.
Data ownership and permanence. Baseline stores your data indefinitely and provides one-click full JSON export. Athletedata's stated approach ("we do not store bulk copies") means your data is accessed on-demand from source APIs. For athletes who worry about data durability, want to build a lifetime training history, or plan to analyse their data outside these platforms, Baseline's storage model is more appropriate. For athletes who don't care about historical data beyond what the AI tells them, this doesn't matter.
Geographic analysis. Baseline's heatmap, country breakdowns, trip detection, and altitude tracking are features with no equivalent in Athletedata. If you care about where you train as much as how much, Baseline is the only choice between these two. Athletedata provides text summaries of location data but cannot render an interactive map or show country-by-year coverage trends.
Pricing comparison
The pricing models reflect different philosophies. Baseline offers a free tier with limited features, Pro at $12/month, and a $249 lifetime option that effectively makes it a one-time purchase for long-term users. Athletedata charges $25/month for the coaching plan (includes AI coaching and training plans) or $9/month for the MCP-only plan. The annual option is $299/year (~$24.92/month). Over 3 years: Baseline Pro costs $432 (or $249 lifetime), while Athletedata coaching costs $900 (or $897 on annual). Baseline's lifetime option provides significant savings for athletes who plan to use the platform for many years. However, Athletedata includes features (auto-adapting plans, proactive coaching) that Baseline doesn't yet offer, so the comparison isn't purely about price.
Where they're even
Both platforms target serious athletes who wear multiple devices. Both are built by solo developers who are responsive to user feedback. Both have free tiers or trials. Both will continue to improve rapidly - the training analytics space is moving fast in 2026. Both are credible alternatives to the incumbent platforms (TrainingPeaks, Garmin Connect). Both cost in the $10–25/month range. Neither has social features. Neither has a mature mobile app (both are web-first with responsive design).
The honest recommendation
Choose Athletedata if: you want an AI coach that messages you first, you prefer chat interfaces over dashboards, you use a less common wearable (Polar, Hevy, Withings), you want auto-adapting training plans that adjust daily, and you're comfortable with the AI being the primary experience. Athletedata is also the better choice if integration breadth matters more than geographic analysis.
Choose Baseline if: you want to explore your own data on a beautiful visual dashboard, you're a multi-sport athlete who cares about geographic analysis and heatmaps, you prefer AI that enhances rather than drives your training experience, you want lifetime pricing, and you care about data ownership and export. Baseline is also better if you find proactive AI notifications intrusive.
Try both. Both products offer free tiers. Spend a week with each. The difference in philosophy is stark enough that your preference will be clear within days. If you find yourself wanting the AI to message you, Athletedata is your tool. If you find yourself wanting to browse maps and charts, Baseline is your tool.
Try Baseline free → or try the demo → - and also sign up for Athletedata. There's no reason you can't use both.