# iftrue vs Weave (WorkWeave)

iftrue records 475 monthly visits with +3.9% month-over-month growth and Contact for Pricing pricing. Weave (WorkWeave) records 13,482 monthly visits with -36.8% growth and Flexible pricing.

| Metric | [iftrue](https://openaitools.app/tool/iftrue) | [Weave (WorkWeave)](https://openaitools.app/tool/workweave) |
| :--- | :--- | :--- |
| Website URL | https://iftrue.co | https://weaveos.com |
| Categories | AI Developer Tools, AI Assistant, AI Project Management, AI Meeting Assistant | AI Developer Tools, AI For Data Analytics, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Flexible |
| Monthly Visits | 475 | 13,482 |
| MoM Growth Rate | +3.9% | -36.8% |
| Primary Market | Türkiye | United States |
| Direct Visits | 196 | 11,248 |
| Review Score | 4.2 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## iftrue

iftrue positions itself as the engineering intelligence layer for the AI era. Its premise is that AI adoption has broken the metrics engineering leaders used to trust: code is increasingly written by Copilot, Cursor and Claude, so raw output counts no longer tell you whether a team is genuinely faster or just producing more rework. iftrue rebuilds the measurement by connecting three signals — AI authorship in the code, the delivery system across GitHub, Jira and Linear, and people data from Slack, surveys and one-on-ones.

On the AI side, iftrue performs per-pull-request attribution so you can see which lines came from which AI tool and compare teams that get real lift against teams whose cycle time is flat while rework climbs. On delivery, it auto-tracks the four DORA metrics (deployment frequency, lead time, change failure rate and MTTR) straight from your stack and forecasts sprint outcomes from actual velocity. On the human side, it watches review load, workload balance and burnout signals, and preps one-on-ones with talking points, wins and risks before a resignation letter arrives.

The platform is designed to run in the background. It connects to version control, issue tracking, AI tools and communication platforms in minutes with no code changes, and pushes insights into Slack so engineers do not adopt yet another tab. Reporting rolls the signals up for leadership, investment distribution and board decks, and the company highlights 2 weeks to value and GDPR-readiness as adoption credentials.

**Pricing & Plans:** iftrue is sold primarily through a book-a-demo model, with a 30-minute walkthrough tailored to your stack, and its marketing cites a 2-week path to value and ROI within 8 weeks. The public site does not publish tier prices; the listing's Free Trial / Paid framing suggests a free evaluation before a paid plan, but exact figures are not disclosed on the site.

- **AI code attribution:** Per-pull-request attribution that identifies which lines of code were written by Copilot, Cursor, Claude or a human, so you can quantify AI ROI instead of debating it.
- **DORA metrics auto-tracking:** Deployment frequency, lead time, change failure rate and MTTR tracked automatically from your existing stack, plus sprint forecasting based on real historical velocity.
- **Slack assistant and notifications:** An AI-powered chatbot inside Slack plus real-time alerts keep insights in the tools engineers already have open, with no new dashboards to check.
- **Team health and burnout signals:** Tracks review load, workload trends and burnout risk, and prepares 1:1s and daily check-ins with concrete talking points, wins and risks.
- **Leadership reporting and investment distribution:** Rolls engineer effort and outcomes into reports that show where engineering time goes and which investments or teams deserve more support.

**Strengths:** Combines AI attribution, DORA metrics and team health in one platform rather than three tools; Runs inside Slack so engineers need no new workflow or dashboard; Auto-tracks delivery metrics from existing GitHub, Jira and Linear integrations; Includes human signals like burnout and review load that most engineering analytics tools ignore

**Limitations:** Public pricing is not disclosed; you must book a demo to understand cost; Value depends on broad adoption across the team, not just managers; Requires connecting code, issue and messaging tools, which some orgs are cautious about

[Profile (Markdown)](https://openaitools.app/tool/iftrue.md)

## Weave (WorkWeave)

Weave — known in earlier listings as WorkWeave — is an engineering intelligence platform built around a specific thesis: that AI has changed how software gets written, and that traditional delivery metrics no longer capture what is happening. Weave combines large language models with domain-specific machine learning to analyse code artifacts and infer how much work was done, how good it is, and how much of it AI contributed. It reports this alongside familiar frameworks such as DORA and SPACE.

The platform gathers signals from commits, pull requests, reviews, deployments and AI tool telemetry. That mix powers a set of dashboards covering AI-assisted merge rates, quality scores, per-engineer AI usage and overall team output, plus token and prompt-spend intelligence that connects AI cost to engineering results and benchmarks you against other organisations. An agent named Wooly answers natural-language questions about your teams and delivery cycles, citing the underlying records rather than producing generic advice.

A distinguishing capability is the Weave Router (also marketed under the name Astra), which sits between your coding clients and model providers. It classifies each prompt and routes it to the model offering the best quality-per-token, learning from feedback across the team. Installation is a single command that detects your clients and points them at the router proxy. The company reports 500+ engineering organisations, 2M+ pull requests analysed and 25k+ engineers measured, and states SOC 2 Type II certification, GDPR and HIPAA compliance, SSO and SCIM support.

**Pricing & Plans:** Freemium with enterprise tiers. Weave offers a free starting path and paid business plans, with enterprise options adding SSO, SCIM provisioning and expanded compliance. Exact figures are published on the Weave pricing page; teams at scale typically book a demo for a tailored quote.

- **Engineering intelligence dashboards:** Brings AI metrics, DORA and SPACE-based benchmarks and developer feedback into one view so you can see where work stalls from prompt to production.
- **AI adoption and ROI analytics:** Relates AI-assisted usage to merges, quality and cost, with per-engineer AI usage and AI score reporting plus benchmarks against 1,000+ organisations.
- **Token and cost intelligence:** Connects token and prompt spend to engineering output so you can see what you are getting for every AI dollar spent.
- **Coding agent model router:** Weave Router classifies each prompt and routes it to the model with the best quality-per-token, learning from team feedback over time.
- **Wooly AI agent and MCP access:** An AI engineering agent that answers questions about your teams and delivery, with every answer grounded in and citing your own records.

**Strengths:** Measures AI's contribution to engineering output rather than just counting activity; Combines AI telemetry, DORA/SPACE metrics and cost data in one platform; The router can cut model spend by directing prompts to cheaper models that still meet quality bar; Wooly answers cite your own records, which suits executive reporting

**Limitations:** Set up as an enterprise-grade platform, so pricing conversations and rollout suit larger engineering organisations; Meaningful insight depends on connecting your repositories, CI/CD and AI tooling — the value grows with how much data you feed it; Some features sit in the emerging 'AI code attribution' space where measurement methodology is still contentious; Requires organisational buy-in, since it is explicitly a tool for measuring developer work

[Profile (Markdown)](https://openaitools.app/tool/workweave.md)

## Frequently Asked Questions

### How do iftrue and Weave (WorkWeave) compare in monthly traffic?

iftrue has 475 monthly visits, while Weave (WorkWeave) has 13,482. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

iftrue has a month-over-month growth rate of +3.9%; Weave (WorkWeave) has -36.8%.

### How does pricing compare?

iftrue: Contact for Pricing. iftrue is sold primarily through a book-a-demo model, with a 30-minute walkthrough tailored to your stack, and its marketing cites a 2-week path to value and ROI within 8 weeks. The public site does not publish tier prices; the listing's Free Trial / Paid framing suggests a free evaluation before a paid plan, but exact figures are not disclosed on the site. Weave (WorkWeave): Flexible. Freemium with enterprise tiers. Weave offers a free starting path and paid business plans, with enterprise options adding SSO, SCIM provisioning and expanded compliance. Exact figures are published on the Weave pricing page; teams at scale typically book a demo for a tailored quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 2 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) |
| 3 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 5 | [Dagster](https://openaitools.app/tool/dagster) | 105,563 | -18.5% | Free Trial, Paid, Contact for Pricing | AI-native data orchestration for trustworthy pipelines | [.md](https://openaitools.app/tool/dagster.md) |
| 6 | [OSS Insight](https://openaitools.app/tool/oss-insight) | 97,152 | -13% | Free | Free real-time analytics for open source projects on GitHub | [.md](https://openaitools.app/tool/oss-insight.md) |
| 7 | [PromptLayer](https://openaitools.app/tool/promptlayer) | 85,899 | -4.6% | Free Trial, Contact for Pricing | The collaboration layer for AI engineering teams | [.md](https://openaitools.app/tool/promptlayer.md) |
| 8 | [we360.ai](https://openaitools.app/tool/we360-ai) | 64,253 | -22.5% | Freemium, Free Trial, Paid | AI workforce analytics that turn monitoring data into productivity and cost decisions. | [.md](https://openaitools.app/tool/we360-ai.md) |
| 9 | [Larridin](https://openaitools.app/tool/larridin) | 52,560 | +45.9% | Contact for Pricing | AI value measurement platform connecting AI spend to real business outcomes | [.md](https://openaitools.app/tool/larridin.md) |
| 10 | [devActivity](https://openaitools.app/tool/devactivity) | 46,541 | +14% | Freemium | GitHub-native analytics for developer experience and team performance | [.md](https://openaitools.app/tool/devactivity.md) |

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Source: https://openaitools.app/compare/iftrue-vs-workweave

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