Software Alternatives & Startups

Objects VS useSherlock.ai

Compare Objects VS useSherlock.ai and see what are their differences

Objects

An online tool to create instructions and user manuals for providing quality customer care

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0 reviews
useSherlock.ai

An AI call detective in Slack. Ask about your calls in plain English — it investigates Twilio, ElevenLabs & Genesys among many other aservices and answers in seconds. Slack-native forensics for Twilio + ElevenLabs call failures

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0 reviews
Pricing
Free trial
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Base details

Website, pricing, platforms and company facts side by side.

Objects
useSherlock.ai
Website objects.to usesherlock.ai
Pricing
Platforms —
Slack ElevenLabs Twilio Genesys Hubspot Google Aircall Amazon Datadog Stripe +7
Company — Startup from Spain · 1 - 9 employees · 2026
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About Objects and useSherlock.ai

In their own words, as submitted to SaaSHub.

Objects
useSherlock.ai

No description of Objects yet.

Sherlock Calls investigates failed voice AI calls and posts the findings in Slack: a correlated cross-provider timeline, root cause with evidence, and first checks in triage order — giving voice AI observability to telephony engineers and on-call SREs without new dashboards. When a Twilio,...

Read more about useSherlock.ai

Features and specs

What each product offers, as listed by its team.

Objects 5 features
useSherlock.ai 7 features
  • Decentralized Object Storage
    Objects.to provides decentralized storage solutions, allowing users to store data across distributed networks rather than relying on a single centralized server, which enhances data resilience and reduces single points of failure.
  • Web3 and Blockchain Integration
    The platform is designed with Web3 principles in mind, making it well-suited for developers building decentralized applications (dApps) that need reliable and censorship-resistant storage.
  • Simple API and Developer Experience
    Objects.to offers a straightforward API that makes it relatively easy for developers to integrate decentralized storage into their projects without needing deep expertise in the underlying protocols.
  • Content Persistence
    Data stored through Objects.to benefits from content-addressable storage mechanisms, helping ensure that files remain available and verifiable over time without risk of link rot or unauthorized modification.
  • Cost-Effective Storage
    Compared to traditional cloud storage providers, Objects.to can offer competitive pricing by leveraging decentralized storage networks, potentially reducing costs for developers and businesses storing large amounts of data.

Possible disadvantages

  • Limited Mainstream Adoption
    Objects.to is a relatively niche platform compared to established cloud storage providers like AWS S3 or Google Cloud Storage, which means fewer community resources, tutorials, and third-party integrations are available.
  • Performance and Latency Concerns
    Decentralized storage can sometimes suffer from higher latency and slower retrieval speeds compared to centralized cloud services that have globally distributed CDNs and optimized infrastructure.
  • Reliability and Uptime Uncertainty
    As a smaller and newer platform, Objects.to may not offer the same level of guaranteed uptime and SLAs that enterprise-grade centralized storage providers commit to.
  • Learning Curve for Non-Web3 Developers
    Developers unfamiliar with decentralized storage concepts, content addressing, and Web3 paradigms may face a steeper learning curve when adopting Objects.to compared to traditional storage solutions.
  • Limited Documentation and Support
    Being a smaller platform, Objects.to may have less comprehensive documentation, fewer support channels, and slower response times for troubleshooting compared to major cloud providers with dedicated support teams.
  • CALL INVESTIGATION
    Ask Sherlock Calls about any call in Slack. Get details, status, duration, events, and errors from Twilio or Genesys in one question — it fetches everything automatically.
  • TRANSCRIPT ANALYSIS
    Search through ElevenLabs conversation transcripts right from Slack. Find specific moments, keywords, or patterns across hundreds of calls instantly.
  • MARKETING & ADS INSIGHTS
    Correlate call outcomes with ad campaigns. Ask "Which Google Ads campaign drove the most qualified calls this week?" and Sherlock Calls cross-references call data with Google Ads, Meta Ads, and Analytics.
  • CRM SYNC & ENRICHMENT
    Sherlock Calls connects to HubSpot, Salesforce, and Dynamics 365 to enrich call data with CRM context. Ask "What deal stage is the caller from +34 611...?" and get the full picture — calls, contacts, and pipeline in one answer.
  • COST BREAKDOWN
    Ask "What did calls cost this week?" in Slack and get an instant breakdown by provider. Spot anomalies, track spending trends, and optimize per-call economics.
  • CROSS-SERVICE CORRELATION
    Sherlock Calls builds a unified timeline across Twilio, ElevenLabs, your CRM, and ad platforms. See the full journey — from ad click to call to deal closed — posted as a clean thread in Slack.
  • MULTI-CHANNEL, MULTI-PROVIDER
    Works in Slack today, with WhatsApp, Telegram, and email coming soon. Connects to voice providers, CRMs, ad platforms, and analytics — each integration is a plugin.

Analysis

An editorial look at what each product does well and who it suits.

Objects
useSherlock.ai

Overall verdict

  • Objects.to is a niche link-in-bio and personal landing page tool. It appears to offer a minimalist way to consolidate links, but it has limited brand recognition compared to major competitors like Linktree, Bio.link, or Beacons, and detailed independent reviews or long-term reliability data are scarce.

Why this product is good

  • Simple, minimalist interface for creating a single landing page
  • Likely free or low-cost tier for basic use cases
  • Quick setup for consolidating multiple links in one place
  • Lightweight alternative if you dislike bloated link-in-bio tools

Recommended for

  • Individuals wanting a very basic, no-frills link page
  • Users experimenting with alternatives to mainstream link-in-bio services
  • Small creators who don't need advanced analytics or customization
  • Those prioritizing simplicity over extensive design options

Overall verdict

  • I don't have verified, up-to-date information about useSherlock.ai (usesherlock.ai) specifically, so I can't confidently confirm whether it's good or not. It may be a newer or niche tool that isn't well-documented in my training data, so I'd recommend checking recent reviews, its official website, and user feedback on platforms like G2, Product Hunt, or Reddit before making a decision.

Why this product is good

  • No verified data available on features, pricing, or performance
  • Cannot confirm legitimacy, security practices, or company reputation
  • Unable to compare it accurately against competitors without firsthand or documented information

Recommended for

  • Users willing to independently research and test the product before committing
  • Early adopters comfortable trying newer or less-documented tools
  • Those who can verify claims directly through the official site, trials, or community reviews

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Objects
useSherlock.ai
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing Objects and useSherlock.ai.

What makes your product unique?

useSherlock.ai's answer:

Sherlock Calls is the only tool that correlates voice AI call events across multiple providers (Twilio, ElevenLabs, Vapi, Retell AI, etc.) into a single incident case file posted in Slack. Most observability tools show dashboards. Sherlock answers specific questions like why did this call fail? The output is a Slack thread with a timestamped cross-provider timeline, root cause with evidence, troubleshooting options, and first checks in triage order, not another screen to monitor.

Why should a person choose your product over its competitors?

useSherlock.ai's answer:

Generic APM tools like Datadog and New Relic were not built for voice AI stacks. They don't understand the relationship between Twilio telephony events and ElevenLabs TTS behavior, or how webhook delivery timing affects call outcomes. Sherlock is purpose-built for cross-provider voice call correlation. Setup is OAuth-only. 60 seconds, no code changes, no agent installation.

How would you describe the primary audience of your product?

useSherlock.ai's answer:

Engineering teams running voice AI in production: telephony engineers, on-call SREs, voice AI operators, and technical founders whose product relies on AI phone agents built on Twilio, Genesys, ElevenLabs, Vapi, or Retell AI, among others.

What's the story behind your product?

useSherlock.ai's answer:

Built by Borja, Jorge and Jose after years working in the voice AI and telephony space. Every call failure investigation followed the same pattern: open the Twilio console, open the ElevenLabs dashboard, pull webhook logs, reconcile timestamps manually, guess at the root cause. Two to three hours per incident. They kept asking why no tool just answered the question. When they looked and found nothing purpose-built for voice AI stacks, they built it themselves.

Which are the primary technologies used for building your product?

useSherlock.ai's answer:

Next.js, TypeScript, Supabase (PostgreSQL), All major LLMs, Slack API, Stripe, Vercel, Resend, Supabase

Who are some of the biggest customers of your product?

useSherlock.ai's answer:

We are our own first clients and we are seeking other like-minded individuals and teams facing the same problems that could try our product and provide us with some feedback.

User comments

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