How TikChat worked during a real 81-minute TikTok LIVE
On September 17, 2026, TikChat owner and TikTok creator Matt Olech used the production version of TikChat during a regular LIVE on @mattolech. He streamed from a phone and followed TikChat on a separate tablet. During an 81-minute TikChat session, the application recorded 516 comments and 352 gifts.This was not a laboratory test, a simulated conversation or an independent customer study.
It was a normal LIVE in which TikChat was used as intended: as a private, creator-facing place to follow the active conversation, recognize returning viewers and work with viewer context while the stream was running.
The most important observation was practical rather than statistical: TikChat could be used on a separate tablet as part of a normal mobile LIVE workflow while its core conversation and Viewer Memory features were actively used.
The production data documents what happened inside TikChat during that session. It does not prove that TikChat increased engagement, comments, gifts or any other TikTok LIVE result.
Test setup
The session took place on September 17, 2026.- Creator: Matt Olech (@mattolech)
- Relationship to TikChat: Owner of TikChat
- Type of LIVE: Regular TikTok LIVE
- Streaming device: Smartphone
- TikChat device: Separate tablet
- TikChat environment: Production version
- TikChat session start: 18:03:56 CEST
- TikChat session end: 19:25:27 CEST
- Recorded TikChat session duration: 1 hour, 21 minutes, 32 seconds
The production database confirms that this TikChat session lasted 1 hour, 21 minutes and 32 seconds. It does not independently confirm that the entire TikTok LIVE started and ended at exactly the same moments.
The setup itself was deliberately simple:
Phone → TikTok LIVETablet → TikChat
TikChat was therefore not part of the public video seen by viewers. It was a private second-screen interface used by the creator during the LIVE.
This is also an example of TikChat being used without TikTok LIVE Studio or OBS. The LIVE itself remained on the phone while the tablet was dedicated to following the conversation.
What was the purpose of the test?
There was no artificial benchmark or predefined engagement target.
The practical goal was much simpler: use TikChat during a normal TikTok LIVE and see whether it could work comfortably as a separate screen for following comments and recognizing viewers.
During the session, Matt used the product rather than simply leaving it connected in the background.
The tested workflow included:
- following incoming LIVE comments in the dedicated TikChat view;
- using saved viewer names;
- recognizing highlighted viewers;
- searching the actively captured conversation;
- finding viewers using saved names;
- observing gift-related information available during the LIVE;
- viewing available LIVE information, including the like counter;
- keeping TikChat on a separate tablet while the LIVE continued on the phone.
For more detail on viewer recognition, see TikChat Viewer Memory. The wider product workflow is described on How TikChat works.
Method
Because this was a normal creator session rather than a controlled experiment, the method was intentionally straightforward.1. Start a regular TikTok LIVE
Matt started a normal LIVE from his phone on @mattolech. The stream was not created specifically to generate test traffic for TikChat.2. Use TikChat on a separate tablet
TikChat was opened on another device and used as the creator-facing conversation screen. This kept the LIVE itself on the phone while the tablet provided more space for working with chat.3. Use TikChat during the actual conversation
As viewers interacted with the LIVE, TikChat was used to follow comments and work with viewer context. Saved names and highlights were used to make previously identified viewers easier to recognize. Search was also used with the actively captured conversation. TikChat search should not be confused with historical chat storage. It applies to the conversation captured during the active session and does not turn earlier LIVE streams into a searchable archive.4. Observe the available LIVE information
Gift-related information and the available like-counter information were visible during the session. These values were part of the working creator view, but their presence does not mean TikChat caused the underlying activity.5. Use the production database as the evidence source
After the LIVE, the retained TikChat session summary provided the quantitative evidence used in this case study. The numbers below come directly from the production application record rather than from a manually reconstructed estimate.What happened during the LIVE?
The practical workflow remained simple throughout the session. Matt was broadcasting from his phone while TikChat stayed open on the tablet. That meant the device responsible for the stream did not also have to serve as the only place for following the conversation. As comments arrived, the dedicated TikChat view was used to read the active conversation.Saved names were available for viewers who had previously been given a familiar name inside TikChat. Highlights made selected viewers easier to distinguish visually, while search could be used to locate information within the conversation being actively captured.
From Matt's perspective as the creator using the setup, having the conversation on a dedicated tablet worked comfortably during the LIVE. That statement is a first-party observation from the owner of TikChat, not an independently measured usability result. No formal usability score was collected, and there was no comparison group using the same LIVE conditions without TikChat.
Results and evidence
The strongest evidence from this session is the production record itself.During the TikChat application session, the system retained the following summary:
| Production record | |
|---|---|
| TikChat session duration | 1h 21m 32s |
| Comments recorded by TikChat | 516 |
| Gifts recorded | 352 |
| Recorded gift value | 1,670 coins |
| Last recorded like-counter value | 18,754 |
| Recorded new-follower signals | 0 |
Evidence: TikChat production database, session for @mattolech, September 17, 2026.
Across the complete 81-minute TikChat session, this corresponds to approximately 6.3 recorded comments per minute and 4.3 recorded gifts per minute.
Those values are averages calculated across the whole session.
They do not describe a constant activity rate. The retained session summary does not contain enough detail to reconstruct a minute-by-minute chart showing when comments or gifts were most frequent.
One viewer generated a large share of the recorded gift activity
The production summary also shows that the most active recorded gifter:
- sent 256 gifts;
- generated a recorded gift value of 1,049 coins;
- wrote 83 comments during the session.
That represents approximately 63% of the total recorded gift value.
The ten largest recorded gifters together accounted for:
- 333 of the 352 recorded gifts;
- 1,651 of the 1,670 recorded coins.
No viewer identities need to be published to document these values.
This information is useful as evidence that the TikChat production session was processing real LIVE activity involving comments and gifts. It should not be interpreted as evidence that TikChat created or increased that activity.
What does the evidence actually show?
A case study becomes much more useful when it distinguishes between what was observed and what someone would merely like to conclude.
What this session confirms
This documented session confirms that:
- TikChat was used during a real, regular LIVE on @mattolech;
- the LIVE was streamed from a phone while TikChat was used on a separate tablet;
- the production TikChat session remained recorded for 1 hour, 21 minutes and 32 seconds;
- TikChat recorded 516 comments during that application session;
- TikChat recorded 352 gifts with a recorded value of 1,670 coins;
- Viewer Memory features including saved names were actively used;
- viewer highlights were actively used;
- search was used with the actively captured conversation;
- gift and LIVE information available in the interface was viewed during the stream;
- TikChat functioned as a private creator view rather than a public chat overlay.
What this session does not prove
The same data does not prove that:
- TikChat captured every comment sent through TikTok during the LIVE;
- the connection remained uninterrupted for every second of the recorded session;
- the entire TikTok LIVE itself lasted exactly 1 hour, 21 minutes and 32 seconds;
- TikChat caused viewers to write more comments;
- TikChat caused viewers to send more gifts;
- TikChat increased engagement;
- TikChat increased the number of likes;
- 18,754 likes were generated during the TikChat session;
- the LIVE performed better than a comparable LIVE without TikChat;
- another creator would achieve the same activity levels.
That difference matters. This case documents product use, not product causality.
A note about the 18,754 like-counter value
The value 18,754 needs one additional explanation. It is the last recorded like-counter value supplied during the session. It should not be presented as: TikChat generated 18,754 likes. It should also not automatically be presented as: The LIVE gained 18,754 likes while TikChat was running.
The production record available for this case does not establish the starting value needed to calculate a verified increase.
The defensible statement is simply: The last recorded like-counter value in the TikChat session was 18,754.
Limitations
This case study intentionally keeps several limitations visible.
This was a first-party test
Matt Olech is both the creator who ran the LIVE and the owner of TikChat.
This article is therefore first-party product documentation.
It is not an independent review or third-party customer study.
There was no control LIVE
No equivalent session was run under comparable conditions without TikChat. There is therefore no basis for calculating a difference in comments, gifts, likes, response rates or engagement between TikChat and a non-TikChat workflow.
TikChat session time is not independently verified LIVE duration
The database records the application's session start and end. That is not the same thing as an independent TikTok record confirming the complete duration of the LIVE.
Detailed LIVE events were not retained after the session
TikChat retained a summary of the session, but the detailed events were removed after the LIVE.
As a result, this case cannot reconstruct:
- a minute-by-minute comment timeline;
- gift activity by minute;
- exact activity peaks;
- the complete sequence of gift types;
- viewer-count changes;
- possible brief interruptions during the session.
It also means this case does not rely on a permanent historical archive of viewers' comments.
The service log cannot prove uninterrupted capture
The service log does not contain entries from the period of this older session. That absence is not evidence that the connection was uninterrupted. For the same reason, the figure of 516 comments should be described as comments recorded by TikChat, not as every comment definitively posted to the TikTok LIVE.
No causal performance claim can be made
A single observational session cannot establish that TikChat caused better LIVE performance. The data documents activity that occurred while TikChat was in use. It does not establish what would have happened without it.
What this means for creators
The most useful conclusion from this case is not an engagement percentage. It is a workflow.
A creator conducting a mobile TikTok LIVE can stream from a phone while using a second device as a dedicated private conversation screen.
In this particular session, that second device was a tablet running TikChat.
The setup allowed Matt to use:
- a dedicated view of the current conversation;
- saved viewer names;
- viewer highlights;
- search within the active captured conversation;
- information connected with the active LIVE;
- without putting TikChat into the public broadcast itself.
For creators who currently try to manage the entire conversation from the same phone they use for their LIVE, this is one practical setup worth considering. It does not require the creator to claim that TikChat increases engagement. The benefit being demonstrated here is much narrower and easier to verify: TikChat can serve as a separate, creator-facing conversation screen during a real mobile LIVE. If remembering returning viewers is particularly important to your streams, see how Viewer Memory works. If your main problem is simply having a clearer place for comments, see the TikChat features and how TikChat works during a LIVE.
Frequently asked questions
Was TikChat tested during a real TikTok LIVE?
Yes. This documented production session took place during a regular LIVE on @mattolech on September 17, 2026. It was not a simulated chat or a purpose-built laboratory test. The creator, Matt Olech, is also the owner of TikChat, so the session should be understood as first-party product documentation.
Was TikChat running on the same device as the LIVE?
No. The TikTok LIVE was streamed from a smartphone while TikChat was used on a separate tablet. TikChat acted as a private second-screen interface for the creator.
What TikChat features were actually used?
During this session, Matt used the active chat view, saved viewer names, viewer highlights and search within the actively captured conversation. He also viewed gift-related and available LIVE information shown by the application. These functions were used during the real session rather than merely being available in the product.
Did TikChat record every TikTok LIVE comment?
The available evidence cannot prove that. The production database shows that TikChat recorded 516 comments during the session. There is no retained independent TikTok dataset for this case that can be used to confirm whether that represents every comment posted during the LIVE.
Did this test prove that TikChat increases engagement?
No. There was no controlled comparison against a similar LIVE without TikChat. Comments, gifts and the like-counter value document activity during the session, but they do not establish that TikChat caused that activity.
Can the comments from this LIVE still be searched?
No. TikChat search works with the conversation being actively captured during the LIVE. The detailed events from this session were removed after it ended, while the aggregate session summary was retained. TikChat should not be treated as a searchable historical archive of old LIVE conversations.
Did the LIVE receive 18,754 likes because TikChat was running?
That cannot be concluded from the data. 18,754 is the last recorded value of the like counter available to TikChat during the session. Without a verified starting value, it should not be described as the number of likes gained during the test.
Conclusion
This September 17 session answers a narrow but useful question: Can TikChat actually be used as a separate creator-facing chat screen during a normal mobile TikTok LIVE?
In this documented case, yes.
Matt Olech streamed from a phone while using TikChat on a tablet. The application recorded an 81-minute session containing 516 comments and 352 gifts, while its Viewer Memory, highlight and active-session search functions were used during the stream.
That does not tell us whether TikChat improves engagement or LIVE performance.
It does document how the product was used in production, what information it handled during one real session and where the available evidence ends.
For a closer look at the workflow, see How TikChat works or explore TikChat Viewer Memory.